阅读说明：本技术 液压部件可靠性分析方法和系统、计算机装置和存储介质 (Method and system for analyzing reliability of hydraulic component, computer device and storage medium ) 是由 崔竹君 孙辉 王普长 于 2021-09-06 设计创作，主要内容包括：本公开涉及一种液压部件可靠性分析方法和系统、计算机装置和存储介质。该液压部件可靠性分析方法包括：收集液压部件故障信息,其中,液压部件故障信息包括液压部件现场故障数据和液压部件台架试验故障数据；根据液压部件故障信息,进行液压部件失效模式分类并构建失效案例数据库；对液压部件现场故障数据的分布形式进行拟合检验；根据液压部件故障信息和拟合检验结果,进行失效模式分析。本公开收集液压部件的现场故障数据和台架试验故障数据,形成液压部件可靠性研究工作的基础数据；本公开通过失效案例数据库,可以对失效模式进行分析研究,从而完成了液压部件可靠性评估,并为产品设计改进及维保策略优化提供指导。(The present disclosure relates to a hydraulic component reliability analysis method and system, a computer apparatus, and a storage medium. The hydraulic component reliability analysis method comprises the following steps: collecting hydraulic component fault information, wherein the hydraulic component fault information comprises hydraulic component field fault data and hydraulic component bench test fault data; classifying the failure modes of the hydraulic components and constructing a failure case database according to the failure information of the hydraulic components; performing fitting inspection on the distribution form of the field fault data of the hydraulic component; and analyzing the failure mode according to the failure information of the hydraulic component and the fitting inspection result. The method collects field fault data and bench test fault data of the hydraulic component to form basic data of reliability research work of the hydraulic component; according to the method and the system, the failure mode can be analyzed and researched through the failure case database, so that the reliability evaluation of the hydraulic component is completed, and guidance is provided for product design improvement and maintenance strategy optimization.)

1. A method of analyzing reliability of a hydraulic component, comprising:

collecting hydraulic component fault information, wherein the hydraulic component fault information comprises hydraulic component field fault data and hydraulic component bench test fault data;

classifying the failure modes of the hydraulic components and constructing a failure case database according to the failure information of the hydraulic components;

performing fitting inspection on the distribution form of the field fault data of the hydraulic component;

and analyzing the failure mode according to the failure information of the hydraulic component and the fitting inspection result.

2. The hydraulic component reliability analysis method according to claim 1, further comprising:

and determining the failure threshold range of the key parameters on the hydraulic component structure based on the historical fault data of the hydraulic component and the virtual machine feedback data of the mechanical equipment.

3. The hydraulic component reliability analysis method according to claim 1 or 2, characterized by further comprising:

a model and an operation working condition of mechanical equipment are built, synchronization with the real state of the mechanical equipment is achieved through a sensor, and intelligent monitoring and early warning of the working process of the hydraulic component are achieved.

4. The hydraulic component reliability analysis method according to claim 1 or 2, characterized by further comprising:

identifying the health state of the mechanical equipment by analyzing key performance parameters of the mechanical equipment and combining the failure threshold range and the failure mode analysis data;

and early warning is carried out on the impending faults, and a solution is provided.

5. The hydraulic component reliability analysis method according to claim 1 or 2, wherein the classifying the failure modes of the hydraulic component and constructing the failure case database according to the failure information of the hydraulic component comprises:

the method comprises the following steps of combing the fault information of the hydraulic component according to the type of equipment, the model of the equipment, the fault component, the fault part and the failure mode, and establishing a hydraulic component failure mode network;

and (3) standardizing fault information records, and establishing a hydraulic component failure case database through historical fault information and input existing fault information to realize comprehensive and systematic management of fault data.

6. The method for analyzing the reliability of the hydraulic component according to claim 5, wherein the step of combing the fault information of the hydraulic component according to the equipment type, the equipment model, the fault component, the fault part and the failure mode, and the step of establishing the network of the failure mode of the hydraulic component comprises the following steps:

the hydraulic component fault information is sorted according to at least one item of equipment type, equipment model, failure part name and model, failure part name, failure mode, fault phenomenon and operation condition, and typical classification under four failure modes is established aiming at four failure modes of clamping stagnation, leakage, abrasion and fatigue.

7. The hydraulic component reliability analysis method according to claim 1 or 2, wherein the fitting verification of the distribution form of the field fault data of the hydraulic component comprises:

determining a research object and a failure mode under the specific condition of at least one of equipment type, equipment model, failure part name and model, failure part name, failure mode, failure phenomenon and operation condition, analyzing failure reasons and establishing maintenance record association;

and (3) fitting and checking the distribution form of the field fault data of the hydraulic component by using a mathematical statistical method, and recommending an optimal fitting mode.

8. The hydraulic component reliability analysis method according to claim 1 or 2, wherein the performing failure mode analysis based on the hydraulic component failure information and the fitting verification result comprises:

on the basis of the fault information of the hydraulic component, the failure mode analysis is carried out by combining sales data and adopting a reliability research analysis mode.

9. The hydraulic component reliability analysis method according to claim 8, wherein the failure mode analysis by using a reliability research analysis mode comprises:

through a product reliability analysis mode, the average failure-free time of the hydraulic component is calculated, the service life of the hydraulic component is predicted, weak links of the hydraulic component are found out, and design development and maintenance strategy formulation of the hydraulic component are guided.

10. The method for analyzing the reliability of the hydraulic component according to claim 2, wherein the determining the failure threshold range of the structural key parameter of the hydraulic component based on the historical failure data of the hydraulic component and the virtual machine feedback data of the mechanical equipment comprises:

based on historical fault data, analyzing performance data of key parts before a fault occurs and bench test performance data of the hydraulic parts, mining failure key parameters, building a mathematical model, calculating failure threshold intervals and performance degradation trends of the parts on the hydraulic parts, building failure threshold judgment rules of corresponding failure modes of the specific parts of the hydraulic parts, and forming a failure threshold system of the hydraulic parts.

11. The method for analyzing the reliability of the hydraulic component according to claim 3, wherein the building of the model and the working condition of the mechanical equipment is realized by a sensor, the synchronization with the real state of the mechanical equipment is realized, and the intelligent monitoring and early warning of the working process of the hydraulic component are realized by the method comprising the following steps:

according to the historical performance degradation trend data of the hydraulic component and the failure threshold index of the hydraulic component, the performance state of the hydraulic component is monitored on line, the performance value level of the hydraulic component in the real state of mechanical equipment is analyzed in time, the service life of the hydraulic component and the failure time of the component on the hydraulic component are predicted, after-sale service is guided, and a component stock plan and a pre-inspection repair plan are made in advance;

and measuring and recording the change value of the key structure parameter of the replaced part, and providing data for the research of the performance degradation trend.

12. The method for analyzing the reliability of the hydraulic component according to claim 4, wherein the step of identifying the health state of the mechanical equipment by analyzing key performance parameters of the mechanical equipment and combining the failure threshold range and the failure mode analysis data to perform early warning on the impending failure comprises the following steps:

constructing a symptom set, a reason set, a weight set and a measure set of a fault system;

comprehensively judging the working state of the mechanical equipment according to various performance data transmitted by a sensor on the mechanical equipment;

under the condition that equipment is about to break down, analyzing and judging the performance state and failure mode of the parts of the hydraulic component according to a failure threshold system;

and (4) making corresponding judgment and diagnosis on the action trends and the severity of the hydraulic parts and the equipment by combining the symptom set, the fault reason set, the weight set and the measure set, and making corresponding solving measures.

13. A hydraulic component reliability analysis system, comprising:

the fault information collection module is used for collecting the fault information of the hydraulic component, wherein the fault information of the hydraulic component comprises field fault data of the hydraulic component and bench test fault data of the hydraulic component;

the database construction module is used for classifying the failure modes of the hydraulic components and constructing a failure case database according to the failure information of the hydraulic components;

the distribution fitting module is used for performing fitting inspection on the distribution form of the field fault data of the hydraulic component;

and the failure mode analysis module is used for analyzing the failure modes according to the failure information of the hydraulic component and the fitting inspection result.

14. The hydraulic component reliability analysis system according to claim 13, wherein the hydraulic component reliability analysis system is configured to perform operations for implementing the hydraulic component reliability analysis method according to any one of claims 1 to 12.

15. A computer device, comprising:

a memory to store instructions;

a processor for executing the instructions to cause the computer device to perform operations to implement the hydraulic component reliability analysis method of any one of claims 1-12.

16. A non-transitory computer readable storage medium storing computer instructions which, when executed by a processor, implement a hydraulic component reliability analysis method as claimed in any one of claims 1 to 12.

Technical Field

The disclosure relates to the field of engineering machinery, and in particular to a method and a system for analyzing reliability of a hydraulic component, a computer device and a storage medium.

Background

The hydraulic multi-way valve is a key functional component for realizing the motion and power control of mechanical equipment, and the reliable operation of a hydraulic element is the basis of efficient and safe operation of a system and equipment; however, in the related art, research and accumulation are insufficient in the aspect of hydraulic element reliability for a long time, the utilization rate of fault data is low, and the product reliability problem becomes a key factor for restricting the development of the hydraulic element. Because the failure characteristics, failure modes and damage processes of hydraulic elements of the engineering machinery have the characteristics of complexity, diversity, uncertainty and the like, how to systematically analyze and mine failure data of hydraulic parts, reveal internal causes and external causes of hydraulic part failures and search performance degradation rules becomes an important subject to be solved urgently in the growth process of the engineering machinery industry, such as continuously improving the service quality of products, optimizing the product design and predicting the residual life of the products.

Disclosure of Invention

The inventor finds out through research that: in the related art, the research on the acquisition and management of fault information of hydraulic parts in the service process of equipment is less, a large amount of fault information is lost, and meanwhile, due to the lack of systematic fault information management rules, the fault information of the hydraulic parts is recorded in a disordered manner and information is lost, so that the reliability analysis and research work of the hydraulic parts cannot be systematically carried out.

In view of at least one of the above technical problems, the present disclosure provides a hydraulic component reliability analysis method and system, a computer device, and a storage medium, which can analyze and comb information such as a failure phenomenon, a failure mode, a failure cause, and the like by collecting field failure data and bench test failure data of a hydraulic component.

According to an aspect of the present disclosure, there is provided a hydraulic component reliability analysis method including:

collecting hydraulic component fault information, wherein the hydraulic component fault information comprises hydraulic component field fault data and hydraulic component bench test fault data;

classifying the failure modes of the hydraulic components and constructing a failure case database according to the failure information of the hydraulic components;

performing fitting inspection on the distribution form of the field fault data of the hydraulic component;

and analyzing the failure mode according to the failure information of the hydraulic component and the fitting inspection result.

In some embodiments of the present disclosure, the hydraulic component reliability analysis method further includes:

and determining the failure threshold range of the key parameters on the hydraulic component structure based on the historical fault data of the hydraulic component and the virtual machine feedback data of the mechanical equipment.

In some embodiments of the present disclosure, the hydraulic component reliability analysis method further includes:

a model and an operation working condition of mechanical equipment are built, synchronization with the real state of the mechanical equipment is achieved through a sensor, and intelligent monitoring and early warning of the working process of the hydraulic component are achieved.

In some embodiments of the present disclosure, the hydraulic component reliability analysis method further includes:

identifying the health state of the mechanical equipment by analyzing key performance parameters of the mechanical equipment and combining the failure threshold range and the failure mode analysis data;

and early warning is carried out on the impending faults, and a solution is provided.

In some embodiments of the present disclosure, the classifying the hydraulic component failure modes and constructing the failure case database according to the hydraulic component failure information includes:

the method comprises the following steps of combing the fault information of the hydraulic component according to the type of equipment, the model of the equipment, the fault component, the fault part and the failure mode, and establishing a hydraulic component failure mode network;

and (3) standardizing fault information records, and establishing a hydraulic component failure case database through historical fault information and input existing fault information to realize comprehensive and systematic management of fault data.

In some embodiments of the present disclosure, the combing the fault information of the hydraulic component according to the device type, the device model, the fault component, the fault part, and the failure mode, and the establishing the hydraulic component failure mode network includes:

the hydraulic component fault information is sorted according to at least one item of equipment type, equipment model, failure part name and model, failure part name, failure mode, fault phenomenon and operation condition, and typical classification under four failure modes is established aiming at four failure modes of clamping stagnation, leakage, abrasion and fatigue.

In some embodiments of the present disclosure, the fitting verification of the distribution form of the field fault data of the hydraulic component includes:

determining a research object and a failure mode under the specific condition of at least one of equipment type, equipment model, failure part name and model, failure part name, failure mode, failure phenomenon and operation condition, analyzing failure reasons and establishing maintenance record association;

and (3) fitting and checking the distribution form of the field fault data of the hydraulic component by using a mathematical statistical method, and recommending an optimal fitting mode.

In some embodiments of the present disclosure, the performing the failure mode analysis according to the hydraulic component failure information and the fitting verification result includes:

on the basis of the fault information of the hydraulic component, the failure mode analysis is carried out by combining sales data and adopting a reliability research analysis mode.

In some embodiments of the disclosure, the performing the failure mode analysis by using the reliability research analysis manner includes:

through a product reliability analysis mode, the average failure-free time of the hydraulic component is calculated, the service life of the hydraulic component is predicted, weak links of the hydraulic component are found out, and design development and maintenance strategy formulation of the hydraulic component are guided.

In some embodiments of the present disclosure, the determining a failure threshold range of a key parameter on a hydraulic component structure based on historical failure data of the hydraulic component and virtual machine feedback data of a mechanical device includes:

based on historical fault data, analyzing performance data of key parts before a fault occurs and bench test performance data of the hydraulic parts, mining failure key parameters, building a mathematical model, calculating failure threshold intervals and performance degradation trends of the parts on the hydraulic parts, building failure threshold judgment rules of corresponding failure modes of the specific parts of the hydraulic parts, and forming a failure threshold system of the hydraulic parts.

In some embodiments of the present disclosure, building the model and the operation condition of the mechanical equipment, realizing synchronization with the real state of the mechanical equipment through the sensor, and realizing intelligent monitoring and early warning of the working process of the hydraulic component includes:

according to the historical performance degradation trend data of the hydraulic component and the failure threshold index of the hydraulic component, the performance state of the hydraulic component is monitored on line, the performance value level of the hydraulic component in the real state of mechanical equipment is analyzed in time, the service life of the hydraulic component and the failure time of the component on the hydraulic component are predicted, after-sale service is guided, and a component stock plan and a pre-inspection repair plan are made in advance;

and measuring and recording the change value of the key structure parameter of the replaced part, and providing data for the research of the performance degradation trend.

In some embodiments of the present disclosure, the identifying the health status of the mechanical device by analyzing the key performance parameters of the mechanical device, and analyzing the data in combination with the failure threshold range and the failure mode, and the providing a solution to the impending failure includes:

constructing a symptom set, a reason set, a weight set and a measure set of a fault system;

comprehensively judging the working state of the mechanical equipment according to various performance data transmitted by a sensor on the mechanical equipment;

under the condition that equipment is about to break down, analyzing and judging the performance state and failure mode of the parts of the hydraulic component according to a failure threshold system;

and (4) making corresponding judgment and diagnosis on the action trends and the severity of the hydraulic parts and the equipment by combining the symptom set, the fault reason set, the weight set and the measure set, and making corresponding solving measures.

According to another aspect of the present disclosure, there is provided a hydraulic component reliability analysis system including:

the fault information collection module is used for collecting the fault information of the hydraulic component, wherein the fault information of the hydraulic component comprises field fault data of the hydraulic component and bench test fault data of the hydraulic component;

the database construction module is used for classifying the failure modes of the hydraulic components and constructing a failure case database according to the failure information of the hydraulic components;

the distribution fitting module is used for performing fitting inspection on the distribution form of the field fault data of the hydraulic component;

and the failure mode analysis module is used for analyzing the failure modes according to the failure information of the hydraulic component and the fitting inspection result.

In some embodiments of the present disclosure, the hydraulic component reliability analysis system is configured to perform operations for implementing the hydraulic component reliability analysis method according to any one of the embodiments.

According to another aspect of the present disclosure, there is provided a computer apparatus comprising:

a memory to store instructions;

a processor configured to execute the instructions to cause the computer device to perform operations to implement the hydraulic component reliability analysis method according to any of the embodiments described above.

According to another aspect of the present disclosure, a non-transitory computer readable storage medium is provided, wherein the non-transitory computer readable storage medium stores computer instructions that when executed by a processor implement a hydraulic component reliability analysis method as described in any of the above embodiments.

According to the method, the field fault data and the bench test fault data of the hydraulic component are collected, so that information such as fault phenomena, failure modes, failure reasons and the like can be analyzed and combed, and basic data of the reliability research work of the hydraulic component is formed; according to the method and the system, the failure mode can be analyzed and researched through the failure case database, so that the reliability evaluation of the hydraulic component is completed, and guidance is provided for product design improvement and maintenance strategy optimization.

Drawings

In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 is a schematic diagram of some embodiments of a hydraulic component reliability analysis method of the present disclosure.

FIG. 2 is a schematic diagram of additional embodiments of a hydraulic component reliability analysis method of the present disclosure.

FIG. 3 is a schematic diagram of some embodiments of the disclosed hydraulic component reliability analysis system.

FIG. 4 is a schematic diagram of additional embodiments of a hydraulic component reliability analysis system according to the present disclosure.

FIG. 5 is a schematic block diagram of some embodiments of a computer apparatus according to the present disclosure.

Detailed Description

The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.

The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.

Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.

Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.

In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.

The inventor finds out through research that: the reliability research work of the hydraulic components in the related technology does not form a systematic scheme, wherein the hydraulic component fault data only collect field fault data, and the fault information is independently filled in the field by adopting a fixed template, so that the data sharing cannot be realized; meanwhile, the test fault data of the hydraulic component rack does not form a standardized fault information collection scheme; the reliability work of the hydraulic component is difficult to develop due to the fact that basic fault data information of the hydraulic component is missing, incomplete to fill and not standard.

Most of related technical researches are concentrated on a system level, the reliability and service life of the hydraulic element are designed and manufactured rarely, the classification and analysis of a scientific system of a failure mode and a failure case of the hydraulic element are lacked, the credible basic data support of reliability and service life indexes is lacked, a fault case database is not formed, the reliability evaluation work of the hydraulic element cannot be carried out, and the product production design and after-sale service are difficult to promote.

In view of at least one of the above technical problems, the present disclosure provides a hydraulic component reliability analysis method and system, a computer apparatus, and a storage medium, which are described below by specific embodiments.

FIG. 1 is a schematic diagram of some embodiments of a hydraulic component reliability analysis method of the present disclosure. Preferably, this embodiment may be performed by the hydraulic component reliability analysis system of the present disclosure. The method may comprise at least one of steps 11-14, wherein:

and 11, collecting hydraulic component fault information, wherein the hydraulic component fault information comprises hydraulic component field fault data and hydraulic component bench test fault data.

In some embodiments of the present disclosure, the hydraulic component may be a multiplex valve.

In some embodiments of the present disclosure, the hydraulic component may be a hydraulic component of a pump, a cartridge valve, a motor, a pilot handle, an integrated valve, and the like.

And step 12, classifying the failure modes of the hydraulic components and constructing a failure case database according to the failure information of the hydraulic components.

In some embodiments of the present disclosure, step 12 may comprise at least one of steps 121-122, wherein:

and 121, combing the fault information of the hydraulic component according to the equipment type, the equipment model, the fault component, the fault part and the failure mode, and establishing a hydraulic component failure mode network.

In some embodiments of the present disclosure, step 121 may comprise: the hydraulic component fault information is sorted according to at least one item of equipment type, equipment model, failure part name and model, failure part name, failure mode, fault phenomenon and operation condition, and typical classification under four failure modes is established aiming at four failure modes of clamping stagnation, leakage, abrasion and fatigue.

And step 122, standardizing fault information records, and establishing a hydraulic component failure case database through historical fault information and input existing fault information to realize comprehensive and systematic management of fault data.

And step 13, performing fitting inspection on the distribution form of the field fault data of the hydraulic component.

In some embodiments of the present disclosure, step 13 may comprise at least one of steps 131-132, wherein:

and 131, determining a research object and a failure mode under the specific condition of at least one of equipment type, equipment model, failure part name and model, failure part name, failure mode, failure phenomenon and operation condition, analyzing failure reasons and establishing maintenance record association.

And 132, performing fitting inspection on the distribution form of the field fault data of the hydraulic component by using a mathematical statistical method, and recommending an optimal fitting mode.

And 14, analyzing the failure mode according to the failure information of the hydraulic component and the fitting inspection result.

In some embodiments of the present disclosure, step 14 may comprise: on the basis of the fault information of the hydraulic component, the failure mode analysis is carried out by combining sales data and adopting a reliability research analysis mode.

In some embodiments of the disclosure, the step of performing the failure mode analysis by using the reliability research analysis manner may include: through a product reliability analysis mode, the average failure-free time of the hydraulic component is calculated, the service life of the hydraulic component is predicted, weak links of the hydraulic component are found out, and design development and maintenance strategy formulation of the hydraulic component are guided.

According to the method for analyzing the reliability of the hydraulic component, provided by the embodiment of the disclosure, information such as a fault phenomenon, a failure mode, failure reasons and the like is analyzed and combed by collecting field fault data and bench test fault data of the hydraulic component, so that basic data of the reliability research work of the hydraulic component is formed; and analyzing and researching the failure mode through a failure case database, finishing the reliability evaluation of the hydraulic component, and providing guidance for product design improvement and maintenance strategy optimization.

FIG. 2 is a schematic diagram of additional embodiments of a hydraulic component reliability analysis method of the present disclosure. Preferably, this embodiment may be performed by the hydraulic component reliability analysis system of the present disclosure. The method may comprise at least one of steps 21-28, wherein:

and step 21, collecting hydraulic component fault information.

In some embodiments of the present disclosure, step 21 may comprise: and collecting field fault information of the hydraulic component and bench test and failure information in the test field.

In some embodiments of the present disclosure, step 21 may comprise: after-sale service personnel of the equipment or the product fill in fault information, complete fault information acquisition through a computer and a mobile terminal, and simultaneously use a product after-sale service system to transfer historical field fault information of the hydraulic component; combing the historical bench test fault information of the hydraulic component through a paper edition, an electronic edition experiment report and electronic edition test data; adding and updating fault data in due time through a hydraulic component field fault data management module and a hydraulic component bench test fault data management module;

in some embodiments of the present disclosure, step 21 may comprise: and collecting field fault data of the hydraulic component and bench test fault data of the hydraulic component. Historical field fault data of the hydraulic component are called and historical field fault information of the hydraulic component is collected through a product after-sale service system; the historical bench test data of the hydraulic component is combed through a paper edition, an electronic edition test report and electronic edition test data of the hydraulic component; in consideration of filling portability and universality, after-sale maintenance personnel and testing personnel of equipment or products complete fault information input in a hydraulic component field fault data management module and a hydraulic component bench test fault data management module in a computer and mobile terminal mode, and integrity and timeliness of fault information are ensured.

Step 22: and classifying the failure modes.

In some embodiments of the present disclosure, step 22 may comprise: and (4) combing the fault information of the hydraulic component according to the equipment model, the name and the model of the failed part, the name of the failed part, the failure mode, the fault phenomenon and the operation condition to establish a hydraulic component failure mode network.

In some embodiments of the present disclosure, step 22 may comprise: due to the complexity and the variability of the operation working condition, the operation environment, the operation condition and the structure of the hydraulic part, the failure modes are combed according to the product types, the product models, the failure parts and the failure modes through a failure mode classifying method, the typical failure modes of clamping stagnation, leakage, abrasion and fatigue (failure or damage of functional parts and the like) are classified, and the typical classification of the four failure modes is established; the reliability analysis and research work of different parts and different depth levels is facilitated.

Step 23: and building a hydraulic component failure case database.

In some embodiments of the present disclosure, step 23 may comprise: standardizing fault information records, and establishing a hydraulic component failure case database through inputting historical fault information and existing fault information; and the comprehensive and systematic management of fault data is realized.

In some embodiments of the present disclosure, a failure case database is built in step 23, and is mainly used for managing historical failure data of the hydraulic component and existing failure data of the hydraulic component, inputting information through a normalized case database, ensuring that failure information is comprehensive, solidifying failure information acquisition contents, forming a normalized acquisition experience of the failure information of the hydraulic component, building basic failure data of the hydraulic component, and supporting reliability analysis work of the hydraulic component.

Step 24: and fitting the distribution of the failure modes.

In some embodiments of the present disclosure, step 24 may comprise: determining a research object and a failure mode under the specific conditions of different combinations of equipment models, failure part names and models, failure part names, failure modes, failure phenomena, operation working conditions and the like, analyzing failure reasons and establishing maintenance record association; and simultaneously, carrying out failure mode distribution fitting by adopting a mathematical statistics method.

In some embodiments of the present disclosure, the fitting of the fault data distribution in step 24 is to perform fitting test on the distribution form of the field fault data of the hydraulic component by using a mathematical statistics method, and recommend an optimal fitting manner, so as to improve the accuracy of the reliability analysis work of the hydraulic component.

Step 25: and analyzing the failure mode.

In some embodiments of the present disclosure, step 25 may comprise: on the basis of the fault information of the hydraulic component, the failure mode analysis is carried out by combining sales data and adopting a reliability research analysis method.

In some embodiments of the present disclosure, the failure mode analysis in step 25 mainly includes regional analysis, time analysis, reliability life analysis under specific conditions, performance degradation trend analysis, and the like.

In some embodiments of the present disclosure, the failure mode analysis of step 25 is a further analysis work after fitting the fault data distribution, and step 25 may include: through a product reliability analysis method, the average failure-free time of the hydraulic component is calculated, the service life of the hydraulic component is predicted, weak links of the hydraulic component are found out, and design development and maintenance strategy formulation of the hydraulic component are guided.

Step 26: and (5) analyzing a failure threshold value.

In some embodiments of the present disclosure, step 26 may comprise: and calculating the failure threshold range of key sensitive parameters on the structure of the hydraulic component through a fuzzy theory based on the historical fault data of the hydraulic component and the virtual machine feedback data of the mechanical equipment.

In some embodiments of the present disclosure, step 26 may comprise: based on historical fault data, analyzing performance data of key parts before a fault occurs and bench test performance data of the hydraulic parts, mining failure sensitive parameters, building a mathematical model, calculating and deducing failure threshold intervals and performance degradation trends of all the parts on the hydraulic parts, building failure threshold judgment rules of corresponding failure modes of specific parts of the hydraulic parts, and forming a failure threshold system of the hydraulic parts.

Step 27: and (5) building a mechanical equipment virtual machine.

In some embodiments of the present disclosure, step 27 may comprise: through various simulation software, a model and an operation working condition of real mechanical equipment are built in a digital space, and the synchronization with the real state of the mechanical equipment is realized through a sensor, so that the intelligent monitoring and early warning of the working process of the hydraulic part are realized.

In some embodiments of the present disclosure, step 27 may comprise: building a model and an operation working condition of real mechanical equipment in a digital space through various simulation software, and realizing the synchronization with the real state of the mechanical equipment through a sensor so as to realize the intelligent monitoring and early warning of the working process of the hydraulic part; according to the historical performance degradation trend data of the hydraulic component and the failure threshold index of the hydraulic component, the performance state of the hydraulic component is monitored on line, the performance value level of the hydraulic component in the real state of mechanical equipment is analyzed in time, the service life of the hydraulic component and the failure time of the component on the hydraulic component are predicted, after-sale service is guided, a component stock plan, a pre-inspection repair plan and the like are made in advance, the component to be failed is repaired and replaced in time, the hydraulic component is enabled to work in a safe state again at the minimum cost, and life safety or economic loss caused by failure of the hydraulic component is avoided; in addition, the change value of the key structure parameter of the replaced part is measured and recorded, and data is provided for the research of the performance degradation trend.

Step 28: and (4) intelligently diagnosing faults.

In some embodiments of the present disclosure, step 28 may comprise: by analyzing key performance parameters of mechanical equipment and combining failure threshold analysis and a failure system, the health state of the equipment is identified, possible failures are early warned, solutions are provided, serious consequences such as serious economic loss and personal safety danger are avoided, and the equipment is enabled to operate healthily.

In some embodiments of the present disclosure, step 28 may include at least one of steps 281-284.

Step 281, build a symptom set, a reason set, a weight set and a measure set of the fault system.

In some embodiments of the present disclosure, as shown in fig. 2, step 28 is performed by a fault system and an intelligent diagnosis system, wherein the fault system is composed of a symptom set, a reason set, a weight (severity coefficient) set, and a measure set, wherein the symptom set is various symptoms that may be shown when a certain fault occurs according to the historical fault data of the equipment and the maintenance experience, and the set composed of various different symptoms is the symptom set; the reason set is a failure reason set of each failure counted according to historical failure data; the weight set is the weight of the importance degree of the single fault of each part in the total evaluation according to the experience of an expert team and by combining the detection difficulty degree, the occurrence probability and the severity of the influence equipment of the faults of the parts; the measure set is a solution set which forms a single symptom by combing the maintenance measures according to the historical maintenance records.

And 282, comprehensively judging the working state of the mechanical equipment by the intelligent diagnosis system through various performance data transmitted by the sensor on the mechanical equipment.

In some embodiments of the present disclosure, the sensors may include pressure, flow, temperature, etc. sensors.

And step 283, the intelligent diagnosis system analyzes and judges the performance state and the failure mode of the parts of the hydraulic component according to the failure threshold system under the condition that the equipment is about to fail.

And 284, correspondingly judging and diagnosing the action trends and the severity of the hydraulic parts and the equipment by the intelligent diagnosis system in combination with the symptom set, the fault reason set, the weight set and the measure set, making corresponding solving measures, reminding an operator to take the corresponding measures for the equipment, avoiding serious consequences such as huge economic loss, personal safety hazard and the like, and enabling the equipment to operate healthily.

The embodiment of the disclosure provides a failure mode establishing method, which can be used for screening fault data and defining a failure mode through combination of single conditions and composite conditions, so as to realize single failure mode and composite failure mode analysis models and complete establishment of a multi-failure mode analysis model.

The embodiment of the disclosure provides a reliability analysis method for hydraulic components such as a multi-way valve, which specifically comprises eight parts, namely, fault information collection, failure mode classification, failure case database construction, fault data distribution fitting, failure mode analysis, failure threshold analysis, a mechanical equipment virtual machine and intelligent fault diagnosis, so that the reliability analysis function of the multi-way valve based on historical fault data, the functions of online monitoring of the mechanical equipment virtual machine, service life prediction of the multi-way valve, fault early warning of equipment and the like are realized.

FIG. 3 is a schematic diagram of some embodiments of the disclosed hydraulic component reliability analysis system. As shown in fig. 3, the disclosed hydraulic component reliability analysis system implementation may include a fault information collection module 31, a database construction module 32, a distribution fitting module 33, and a failure mode analysis module 34, where:

and the fault information collection module 31 is configured to collect hydraulic component fault information, where the hydraulic component fault information includes hydraulic component field fault data and hydraulic component bench test fault data.

And the database construction module 32 is used for classifying the failure modes of the hydraulic components and constructing a failure case database according to the failure information of the hydraulic components.

In some embodiments of the present disclosure, the database construction module 32 may be configured to sort the failure information of the hydraulic component according to the device type, the device model, the failed component, the failed part, and the failure mode, and establish a failure mode network of the hydraulic component; and (3) standardizing fault information records, and establishing a hydraulic component failure case database through historical fault information and input existing fault information to realize comprehensive and systematic management of fault data.

In some embodiments of the present disclosure, the database building module 32 may be configured to, when the hydraulic component failure information is sorted according to the device type, the device model, the failed component, the failed part, and the failure mode, and a hydraulic component failure mode network is built, sort the hydraulic component failure information according to at least one of the device type, the device model, the name and the model of the failed component, the name of the failed part, the failure mode, the failure phenomenon, and the operation condition, and build a typical classification under four failure modes for four failure modes, namely, jamming, leakage, wear, and fatigue.

And the distribution fitting module 33 is used for performing fitting inspection on the distribution form of the field fault data of the hydraulic component.

In some embodiments of the present disclosure, the distribution fitting module 33 may be configured to determine a study object and a failure mode, analyze a failure cause, and establish a maintenance record association under a specific condition of at least one of a device type, a device model, a failed part name and model, a failed part name, a failure mode, a failure phenomenon, and an operation condition; and (3) fitting and checking the distribution form of the field fault data of the hydraulic component by using a mathematical statistical method, and recommending an optimal fitting mode.

And the failure mode analysis module 34 is used for performing failure mode analysis according to the hydraulic component fault information and the fitting inspection result.

In some embodiments of the present disclosure, the failure mode analysis module 34 may be configured to perform failure mode analysis by using a reliability research analysis manner in combination with sales data on the basis of the failure information of the hydraulic component.

In some embodiments of the present disclosure, the failure mode analysis module 34, under the condition of performing failure mode analysis by using a reliability research analysis manner, may be configured to calculate an average failure-free time of the hydraulic component, predict a life of the hydraulic component, find out a weak link of the hydraulic component, and guide design and development of the hydraulic component and maintenance strategy formulation by using a product reliability analysis manner.

In some embodiments of the present disclosure, the hydraulic component reliability analysis system may further be configured to determine a failure threshold range of a key parameter on the hydraulic component structure based on historical failure data of the hydraulic component and feedback data of the virtual machine of the mechanical device.

In some embodiments of the disclosure, the hydraulic component reliability analysis system may be used for analyzing performance data of key components and bench test performance data of the hydraulic component before a fault occurs, mining failure key parameters, building a mathematical model, calculating a failure threshold interval and a performance degradation trend of each component on the hydraulic component, and building a failure threshold determination rule of a corresponding failure mode of a specific component of the hydraulic component to form a failure threshold system of the hydraulic component, based on historical failure data of the hydraulic component and virtual machine feedback data of mechanical equipment, under the condition that the failure threshold range of the key parameters on the structure of the hydraulic component is determined.

In some embodiments of the disclosure, the hydraulic component reliability analysis system can also be used for building models and operation conditions of mechanical equipment, and realizes synchronization with the real state of the mechanical equipment through a sensor, so as to realize intelligent monitoring and early warning of the working process of the hydraulic component.

In some embodiments of the disclosure, the hydraulic component reliability analysis system is used for monitoring the performance state of the hydraulic component on line according to historical performance degradation trend data of the hydraulic component and a failure threshold index of the hydraulic component under the conditions of building a model and an operation condition of mechanical equipment and realizing the synchronization with the real state of the mechanical equipment through a sensor and realizing the intelligent monitoring and early warning of the working process of the hydraulic component, analyzing the performance value level of the hydraulic component under the real state of the mechanical equipment in time, predicting the service life of the hydraulic component and the failure time of the component on the hydraulic component, guiding after-sale service and making a component stock plan and a pre-inspection repair plan in advance; and measuring and recording the change value of the key structure parameter of the replaced part, and providing data for the research of the performance degradation trend.

In some embodiments of the present disclosure, the hydraulic component reliability analysis system may also be configured to identify a health state of the mechanical device by analyzing key performance parameters of the mechanical device in combination with the failure threshold range and the failure mode analysis data; and early warning is carried out on the impending faults, and a solution is provided.

In some embodiments of the present disclosure, the hydraulic component reliability analysis system may be used to construct a symptom set, a cause set, a weight set, and a measure set of a fault system by analyzing key performance parameters of a mechanical device, combining a failure threshold range and failure mode analysis data, identifying a health state of the mechanical device, pre-warning an impending fault, and providing a solution; comprehensively judging the working state of the mechanical equipment according to various performance data transmitted by a sensor on the mechanical equipment; under the condition that equipment is about to break down, analyzing and judging the performance state and failure mode of the parts of the hydraulic component according to a failure threshold system; and (4) making corresponding judgment and diagnosis on the action trends and the severity of the hydraulic parts and the equipment by combining the symptom set, the fault reason set, the weight set and the measure set, and making corresponding solving measures.

According to the embodiment disclosed by the invention, the method and the system for analyzing the reliability of the hydraulic component are established, so that the problems that the failure rule is difficult to mine and the reliability service life is difficult to evaluate are effectively solved, and meanwhile, the data information sharing is realized.

FIG. 4 is a schematic diagram of additional embodiments of a hydraulic component reliability analysis system according to the present disclosure. As shown in fig. 4, the execution of the hydraulic component reliability analysis system of the present disclosure may include a user management module, a hydraulic component field data fault management module, a hydraulic component bench test fault data management module, a comprehensive retrieval function management module, a failure case analysis module, and a system management module.

The server, the terminal computer or the intelligent mobile terminal is an operation platform of the engineering machinery failure mode analysis system, and product maintenance service personnel, design and development personnel, experimenters, system management personnel and the like can conveniently perform standardized filling and management on user information, faults and failure data.

The user management module comprises user role creation, user role distribution, user authority management, user information and user login password modification, and mainly aims at after-sales service personnel, design developers and platform managers to distribute different authorities according to different roles, so that the storage safety of platform fault information and the reasonable use of an analysis function are ensured. The user role is created for entering user basic information, including user name, department, telephone, mailbox and other information. The user role distribution is confirmed by a platform administrator, and the user authority management mainly sets the application authority of each module of the system, and sets different display and application interfaces aiming at different personnel, so that the information leakage is prevented, and the information safety is ensured; the user login password modification is performed by the user, the user login password resetting is performed by a platform administrator, and the reset password is used for setting an initial password for the system.

The hydraulic component field fault management module comprises fault information input, modification, deletion and submission sub-modules; the fault information input mainly comprises equipment, equipment models, parts, part models, fault parts, failure modes, operation conditions, repeated faults or not, fault defect types, fault symptoms, fault reasons, solutions, performance data of key parts before faults, key position structure data of the failed parts, declaration places and case confirmer information input, wherein the failure modes mainly comprise leakage, clamping stagnation, abrasion and fatigue (damage or failure of functional parts); the fault information is modified, aiming at maintenance events which are processed for many times, in different maintenance stages until the final maintenance is successful, and the fault information can be modified and perfected after each maintenance; the fault information deletion is used for misoperation, and invalid fault information is prevented from being input; the fault information is submitted for final confirmation of the fault information, and a basic examination link is arranged, so that correct information filling and inputting are ensured.

According to the embodiment of the disclosure, a hydraulic component field fault data management module is established, and standardized description and entry of fault information (historical fault information and existing fault information) are realized, so that messy field collected data information can be avoided, standardized management of hydraulic component field fault information is realized, and the hydraulic component reliability analysis work can be supported.

The hydraulic component bench test fault management module comprises fault information input, modification, deletion and submission sub-modules; the fault information input mainly comprises test numbers, fault components, component models, application equipment and models, fault parts, failure modes, fault symptoms, fault reasons, component disassembly, test conditions before faults, performance test data before faults, experimenters and other information; the fault information modification is used for modifying partial data calculation or filling errors; the fault information deletion is used for deleting invalid data; and submitting the fault information for final confirmation of the performance test data before the fault and the fault information, and setting a basic examination link to ensure that the information is filled correctly.

According to the embodiment of the disclosure, a hydraulic component bench test fault data management module is established, a fault information collection function and performance test data entry functions in different time periods before fault are set, the working states of the multi-way valve in different stages are mastered, and the degradation rule of the hydraulic component is explored by continuously accumulating the performance data and the fault information of the hydraulic component in the bench test, so that the performance degradation analysis work of the hydraulic component can be supported.

The comprehensive retrieval function management module comprises failure mode retrieval, fault phenomenon retrieval, equipment retrieval, part retrieval and composite condition retrieval submodules; the sub-modules of failure mode retrieval, fault phenomenon retrieval, equipment retrieval and part retrieval realize single-condition retrieval according to user requirements; the composite condition retrieval submodule mainly performs different combined condition retrieval of information such as failure modes, fault phenomena, equipment, parts, operation conditions, case confirmers and the like; in addition, for the same fault phenomenon, the function can be used for accurately retrieving, searching historical maintenance records and guiding maintenance personnel to make efficient and reasonable maintenance schemes and maintenance strategies.

According to the embodiment of the disclosure, the comprehensive fault information retrieval module is established, and by setting the single-condition retrieval and composite-condition retrieval functions of key indexes, namely failure modes, fault phenomena, equipment and parts, the query requirements of users can be efficiently and accurately positioned, and the retrieval efficiency is improved.

The failure case analysis module comprises sub-modules of region analysis, time analysis, fitting distribution inspection, failure mode analysis and failure threshold analysis; the regional analysis adopts a mathematical statistics analysis method to analyze the regional and distribution rules of product faults and part failure distribution in different regions and different working environments (high temperature, high cold, humidity and the like); the time analysis is to analyze the product failure and the failure time by adopting a mathematical statistic analysis method, confirm the occurrence stages (early failure, random failure and loss period failure) of the failure by combining the design requirements of the product, and make different design optimization schemes and maintenance strategies aiming at different stages; the fitting distribution testing submodule performs fitting testing on the distribution form of the field fault data of the hydraulic component by using a mathematical statistics method, and recommends an optimal fitting mode to improve the accuracy of the reliability analysis work of the hydraulic component; the failure mode analysis comprises the steps of screening failure information through combination of single conditions and composite conditions, defining a failure mode, completing establishment of single failure mode and multi-failure mode analysis models, and then analyzing field failure data of the hydraulic component, calculating the average failure-free time of the hydraulic component, predicting the residual life of the hydraulic component, finding out weak links of the hydraulic component, guiding design development and maintenance strategy formulation of the hydraulic component, and analyzing the bench test failure data of the hydraulic component to obtain a performance degradation curve of the hydraulic component and find out a performance degradation rule of the hydraulic component so as to predict the life of the hydraulic component; and analyzing the failure threshold, namely analyzing the structural data of the key position of the failed part of the hydraulic component by using a fuzzy theory to obtain a failure threshold interval, and providing a basis for judging the failure of the hydraulic component.

According to the embodiment of the disclosure, the failure case analysis module of the hydraulic component is established, fault data analysis, fitting distribution inspection and failure mode analysis can be performed from different dimensions such as time, region and the like by using a mathematical statistics method and a reliability analysis method, problems existing in product design are found, performance degradation trend of the hydraulic component and reliability analysis of the hydraulic component are researched, and service life evaluation of the hydraulic component is completed.

The hydraulic component failure case analysis module disclosed by the embodiment of the disclosure simultaneously analyzes the multi-way valve bench test fault data by using a reliability analysis method, explores the performance degradation trend of the multi-way valve, and completes the service life evaluation of the multi-way valve; meanwhile, in the reliability analysis process, weak links on the multi-way valve are found, product optimization and maintenance strategy formulation are guided, and the existing fault data value is mined to the maximum extent.

The system management function comprises a system log, a data backup and use method sub-module, wherein the system log mainly records login information and operation information of a system user; the data backup stores backup and updates data at regular time by setting a fixed interval time period so as to prevent data loss; the use method submodule is used for explaining the functions of the system and the application of each module, guiding a user to carry out work, and ensuring standardized filling of fault information, reasonable analysis of fault data and mining.

In some embodiments of the present disclosure, the hydraulic component reliability analysis system of the embodiment of fig. 3 or 4 is used to perform operations for implementing the hydraulic component reliability analysis method as described in any of the embodiments above (e.g., the embodiment of fig. 1 or 2).

The embodiment of the disclosure provides a multi-way valve reliability analysis system, which comprises a user management module, a multi-way valve field data fault management module, a multi-way valve bench test fault data management module, a comprehensive retrieval function management module, a failure case analysis module and a system management module. The embodiments of the present disclosure use a mathematical statistics method and a reliability analysis method to implement reliability analysis and performance degradation trend analysis of the multi-way valve, and complete life evaluation of the multi-way valve. The system disclosed by the embodiment of the invention can be applied to a multi-way valve, and all hydraulic parts (a pump, a cartridge valve, a motor, a pilot handle, an integrated valve and the like) related to engineering mechanical equipment can be applied, and the system is within the protection range required by the invention.

The embodiment of the disclosure provides a system for analyzing reliability of a multi-way valve based on fault data, which effectively solves the problems that failure rules are difficult to mine and the reliability life of the multi-way valve is difficult to evaluate, and meanwhile, data information sharing is achieved.

FIG. 5 is a schematic block diagram of some embodiments of a computer apparatus according to the present disclosure. As shown in fig. 5, the computer apparatus includes a memory 51 and a processor 52.

The memory 51 is used for storing instructions, the processor 52 is coupled to the memory 51, and the processor 52 is configured to execute a method for implementing the hydraulic component reliability analysis according to any of the embodiments described above (for example, the embodiment of fig. 1 or fig. 2) based on the instructions stored in the memory.

As shown in fig. 5, the computer apparatus further comprises a communication interface 53 for information interaction with other devices. Meanwhile, the computer device further comprises a bus 54, and the processor 52, the communication interface 53 and the memory 51 are communicated with each other through the bus 54.

The memory 51 may comprise a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 51 may also be a memory array. The storage 51 may also be partitioned and the blocks may be combined into virtual volumes according to certain rules.

Further, the processor 52 may be a central processing unit CPU, or may be an application specific integrated circuit ASIC, or one or more integrated circuits configured to implement embodiments of the present disclosure.

According to another aspect of the present disclosure, a non-transitory computer-readable storage medium is provided, wherein the non-transitory computer-readable storage medium stores computer instructions, which when executed by a processor, implement the hydraulic component reliability analysis method according to any one of the embodiments (for example, the embodiment of fig. 1 or fig. 2) above.

As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The hydraulic component reliability analysis system described above may be implemented as a general purpose processor, a Programmable Logic Controller (PLC), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any suitable combination thereof, for performing the functions described herein.

Thus far, the present disclosure has been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware to implement the above embodiments, where the program may be stored in a non-transitory computer readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic or optical disk, and the like.

The description of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the disclosure in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the disclosure and the practical application, and to enable others of ordinary skill in the art to understand the disclosure for various embodiments with various modifications as are suited to the particular use contemplated.