阅读说明：本技术 校正局部放电输出信号方法、装置、存储介质和电子装置 (Method, apparatus, storage medium, and electronic apparatus for correcting partial discharge output signal ) 是由 余英 吕启深 詹威鹏 张�林 廖姗姗 于 2021-08-23 设计创作，主要内容包括：本发明公开了局部放电输出信号方法、装置、计算机设备和存储介质,该方法包括：建立待校正的局部放电传感器的等效电路,构建等效电路的等效电路数学模型；向局部放电传感器输入预设脉冲信号,获取局部放电传感器产生的输出信号；根据预设脉冲信号和输出信号,求取等效电路数学模型的参数；基于等效电路数学模型的参数,求取局部放电传感器的输出信号的校正公式,根据校正公式对输出信号进行校正。本发明有效解决了在输出局部放电信号中,局部放电传感器测量信号存在误差的问题。(The invention discloses a method, a device, computer equipment and a storage medium for outputting signals by partial discharge, wherein the method comprises the following steps: establishing an equivalent circuit of a partial discharge sensor to be corrected, and establishing an equivalent circuit mathematical model of the equivalent circuit; inputting a preset pulse signal to the partial discharge sensor to obtain an output signal generated by the partial discharge sensor; according to a preset pulse signal and an output signal, solving parameters of an equivalent circuit mathematical model; and solving a correction formula of the output signal of the partial discharge sensor based on the parameters of the equivalent circuit mathematical model, and correcting the output signal according to the correction formula. The invention effectively solves the problem that the measuring signal of the partial discharge sensor has errors in the output of the partial discharge signal.)

1. A method of correcting a partial discharge output signal, comprising:

establishing an equivalent circuit of a partial discharge sensor to be corrected, and establishing an equivalent circuit mathematical model of the equivalent circuit;

inputting a preset pulse signal to the partial discharge sensor to obtain an output signal generated by the partial discharge sensor;

calculating parameters of the equivalent circuit mathematical model according to the preset pulse signal and the output signal;

and solving a correction formula of the output signal based on the parameters of the equivalent circuit mathematical model, and correcting the output signal according to the correction formula.

2. The method of claim 1, wherein the mathematical model of the equivalent circuit has the formula:

wherein, V_out(s) is the output signal of the partial discharge sensor, I_in(s) is the preset pulse signal input by the partial discharge sensor, M is the mutual inductance of the partial discharge sensor, L is the leakage inductance of the partial discharge sensor coil, R is the direct current resistance of the partial discharge sensor coil, C is the coupling capacitance of the partial discharge sensor, Rs is the resistance of the sampling resistance in the partial discharge sensor, j represents the imaginary part of a complex number, ω is the angular frequency of the signal, and g(s) is an equivalent circuit mathematical model represented by a transfer function.

3. The method of claim 2, wherein said deriving the parameters of the equivalent circuit model according to the preset pulse signal and the output signal comprises:

performing linear transformation on the transfer function to obtain a first transfer function comprising unknown parameters and angular frequency;

constructing a second transfer function comprising real and imaginary parameters based on the transfer function, the function value of the first transfer function and the function value of the second transfer function being equal;

inputting the preset pulse signal, and generating an amplitude-frequency characteristic curve value and a phase-frequency characteristic curve value corresponding to the output signal and the output signal frequency;

according to the amplitude-frequency characteristic curve value and the phase-frequency characteristic curve value corresponding to the output signal, calculating a real part parameter and an imaginary part parameter in the second transfer function;

and solving the unknown parameters in the first transfer function based on the real part parameters and the imaginary part parameters in the second transfer function.

4. The method of claim 3, wherein the preset pulse signal comprises a single sinusoidal signal having a frequency in a range of 20KHz to 2 MHz; when the frequency range of the single sinusoidal signal is 20KHz to 100KHz, the sweep frequency step length of the single sinusoidal signal is 5 KHz; when the frequency range of the single sinusoidal signal is 100KHz to 2MH, the sweep step length of the single sinusoidal signal is 500 KHz.

5. The method according to claim 3, wherein the determining the real part parameter and the imaginary part parameter in the second transfer function according to the amplitude-frequency characteristic curve value and the phase-frequency characteristic curve value corresponding to the output signal comprises:

obtaining the real part parameter and the imaginary part parameter according to the amplitude-frequency characteristic curve value and the phase-frequency characteristic curve value;

establishing a linear system of equations of the real part parameters and the imaginary part parameters in the second transfer function with respect to the unknown parameters;

and solving unknown coefficients in the linear equation set based on a least square method.

6. The method of claim 4, wherein said deriving a correction formula for said output signal based on parameters of said mathematical equivalent circuit model comprises:

calculating an inverse function of the equivalent circuit mathematical model based on the parameters of the equivalent circuit mathematical model;

and carrying out discretization operation on the inverse function to obtain a correction formula of the output signal.

7. The method of claim 6, wherein discretizing the inverse function to obtain a correction equation for the output signal comprises:

carrying out bilinear transformation on the inverse function to obtain a correction value of the output signal in a negative number domain;

and calculating the discrete time sequence of the correction value of the output signal to obtain the correction formula of the output signal.

8. An apparatus for correcting a partial discharge output signal, comprising:

the model determining unit is used for establishing an equivalent circuit of the partial discharge sensor to be corrected and establishing an equivalent circuit mathematical model of the equivalent circuit;

the signal input unit is used for inputting a preset pulse signal to the partial discharge sensor and acquiring an output signal generated by the partial discharge sensor;

the parameter determining unit is used for solving the parameter of the equivalent circuit mathematical model according to the preset pulse signal and the output signal;

and the correction unit is used for solving a correction formula of the output signal based on the parameters of the equivalent circuit mathematical model and correcting the output signal according to the correction formula.

9. A storage medium, in which a computer program is stored, wherein the computer program is arranged to perform the method of any of claims 1 to 7 when executed.

10. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 7.

Technical Field

The present disclosure relates to the field of power equipment online monitoring, and in particular, to a method and an apparatus for correcting a partial discharge output signal, a storage medium, and an electronic apparatus.

Background

With the development of national economy, the demand of society for electric power is increasing continuously, and the high-capacity power supply puts higher requirements on the safe and stable operation of electric power equipment. The electric power equipment is influenced by various factors such as an electric field, a magnetic field, environmental pressure, human factors and the like during operation, and the insulation of the electric power equipment is easy to age or damage, so that faults are caused. Among many insulation faults, the early stage of the fault is often accompanied by a partial discharge phenomenon. Therefore, detecting and locating partial discharges is an effective means of preventing the occurrence of faults in electrical equipment.

The occurrence of partial discharge is accompanied by signals such as electricity, heat, sound, and light, and among many accompanying signals, an electric signal is a signal generally used for detection and localization of partial discharge. The electric signal generated when the partial discharge occurs is a high-frequency pulse signal, and the partial discharge detection and positioning technology based on the high-frequency pulse signal generally adopts a characteristic identification method to identify the partial discharge signal and adopts a traveling wave method to position the position where the partial discharge signal occurs, and both the methods are based on the premise of correctly acquiring the high-frequency pulse signal of the partial discharge. Sensors for acquiring partial discharge high-frequency pulse signals at the present stage can be classified into two categories, namely, inductive and capacitive. Among them, HFCT (High Frequency communication) sensors are widely used because of their advantages of good insulation, easy installation, and High reliability. Because the sensor has certain frequency characteristics, the introduction of the sensor can change detection signals inevitably, and certain difference exists in output signals, thereby influencing the identification and positioning of partial discharge. Therefore, some correction of the sensor output signal is required.

At present, a common correction method is a terminal injection method, in which a voltage pulse is injected into a device, a sensor is used for measurement, then the ratio of the charge amount of the injected pulse to the output signal of the sensor is calculated as a correction ratio, and finally a real partial discharge signal is calculated by using the correction ratio. The method can correct the amplitude of the partial discharge signal to a certain extent, but considering the frequency characteristics of the sensor, the attenuation and dispersion degrees of signals with different frequencies are different, and particularly for the partial discharge signal with complex frequency, the method cannot correct the output signal of the sensor well.

Disclosure of Invention

In view of the above, it is necessary to provide a method, an apparatus, a computer device and a storage medium capable of accurately correcting and correcting a partial discharge output signal of a partial discharge sensor.

A method of correcting a partial discharge output signal, the method comprising:

establishing an equivalent circuit of a partial discharge sensor to be corrected, and establishing an equivalent circuit mathematical model of the equivalent circuit;

inputting a preset pulse signal to the partial discharge sensor to obtain an output signal generated by the partial discharge sensor;

according to a preset pulse signal and an output signal, solving parameters of an equivalent circuit mathematical model;

and solving a correction formula of the output signal of the partial discharge sensor based on the parameters of the equivalent circuit mathematical model, and correcting the output signal according to the correction formula.

In one embodiment, the equation of the mathematical equivalent circuit model g(s) is:

wherein, V_out(s) is the output signal of the partial discharge sensor, I_in(s) is a preset pulse signal input by the partial discharge sensor, M is the mutual inductance of the partial discharge sensor, L is the leakage inductance of a partial discharge sensor coil, R is the direct current resistance of the partial discharge sensor coil, C is the coupling capacitance of the partial discharge sensor, Rs is the resistance of a sampling resistor in the partial discharge sensor, j represents the imaginary part of a complex number, omega is the angular frequency of the signal, and G(s) is an equivalent circuit mathematical model represented by a transfer function.

In one embodiment, the obtaining of the parameters of the equivalent circuit model according to the preset pulse signal and the output signal includes:

performing linear transformation on the transfer function to obtain a first transfer function comprising unknown parameters and angular frequency;

constructing a second transfer function comprising a real part parameter and an imaginary part parameter based on the transfer function, wherein the function value of the first transfer function is equal to the function value of the second transfer function;

inputting a preset pulse signal, and generating an amplitude-frequency characteristic curve value and a phase-frequency characteristic curve value corresponding to the frequency of the output signal and the output signal;

according to the amplitude-frequency characteristic curve value and the phase-frequency characteristic curve value corresponding to the output signal, calculating a real part parameter and an imaginary part parameter in the second transfer function;

and solving the unknown parameters in the first transfer function based on the real part parameters and the imaginary part parameters in the second transfer function.

In one embodiment, the preset pulse signal comprises a single sinusoidal signal, and the frequency range of the single sinusoidal signal is 20KHz to 2 MHz; wherein, when the frequency range of the single sinusoidal signal is 20KHz to 100KHz, the sweep frequency step length of the single sinusoidal signal is 5 KHz; when the frequency range of the single sine signal is 100KHz to 2MH, the sweep step length of the single sine signal is 500 KHz.

In one embodiment, the determining the real part parameter and the imaginary part parameter in the second transfer function according to the amplitude-frequency characteristic curve value and the phase-frequency characteristic curve value corresponding to the output signal includes:

according to the amplitude-frequency characteristic curve value and the phase-frequency characteristic curve value, calculating a real part parameter and an imaginary part parameter;

establishing a linear equation system of the real part parameter and the imaginary part parameter in the second transfer function relative to the unknown parameter;

and solving unknown coefficients in the linear equation set based on a least square method.

In one embodiment, the calculating the correction formula of the output signal based on the parameters of the mathematical model of the equivalent circuit comprises:

based on the parameters of the equivalent circuit mathematical model, solving an inverse function of the equivalent circuit mathematical model;

and carrying out discretization operation on the inverse function to obtain a correction formula of the output signal.

In one embodiment, discretizing the inverse function to obtain a correction equation for the output signal comprises:

carrying out bilinear transformation on the inverse function to obtain a correction value of an output signal in a negative number domain;

and calculating the discrete time sequence of the correction value of the output signal to obtain a correction formula of the output signal of the partial discharge sensor.

An apparatus for correcting a partial discharge output signal, the apparatus comprising:

the model determining unit is used for establishing an equivalent circuit of the partial discharge sensor to be corrected and establishing an equivalent circuit mathematical model of the equivalent circuit;

the signal input unit is used for inputting a preset pulse signal to the partial discharge sensor and acquiring an output signal generated by the partial discharge sensor;

the parameter determining unit is used for solving parameters of the equivalent circuit mathematical model according to the preset pulse signal and the output signal;

and the correction unit is used for solving a correction formula of the output signal based on the parameters of the equivalent circuit mathematical model and correcting the output signal according to the correction formula.

A storage medium, wherein a computer program is stored in the storage medium, and wherein the computer program when executed by a processor performs the steps of:

establishing an equivalent circuit of a partial discharge sensor to be corrected, and establishing an equivalent circuit mathematical model of the equivalent circuit;

inputting a preset pulse signal to the partial discharge sensor to obtain an output signal generated by the partial discharge sensor;

according to a preset pulse signal and an output signal, solving parameters of an equivalent circuit mathematical model;

and solving a correction formula of the output signal of the partial discharge sensor based on the parameters of the equivalent circuit mathematical model, and correcting the output signal according to the correction formula.

An electronic device comprising a memory and a processor, wherein the memory has a computer program stored therein, and the processor is configured to execute the computer program to perform the steps of:

establishing an equivalent circuit of a partial discharge sensor to be corrected, and establishing an equivalent circuit mathematical model of the equivalent circuit;

inputting a preset pulse signal to the partial discharge sensor to obtain an output signal generated by the partial discharge sensor;

according to a preset pulse signal and an output signal, solving parameters of an equivalent circuit mathematical model;

and solving a correction formula of the output signal of the partial discharge sensor based on the parameters of the equivalent circuit mathematical model, and correcting the output signal according to the correction formula.

The invention discloses a method, a device, computer equipment and a storage medium for outputting signals by partial discharge, wherein the method comprises the following steps: establishing an equivalent circuit of a partial discharge sensor to be corrected, and establishing an equivalent circuit mathematical model of the equivalent circuit; inputting a preset pulse signal to the partial discharge sensor to obtain an output signal generated by the partial discharge sensor; according to a preset pulse signal and an output signal, solving parameters of an equivalent circuit mathematical model; and solving a correction formula of the output signal of the partial discharge sensor based on the parameters of the equivalent circuit mathematical model, and correcting the output signal according to the correction formula. The invention effectively solves the problem that the measuring signal of the partial discharge sensor has errors in the output of the partial discharge signal.

Drawings

FIG. 1 is a schematic flow chart illustrating a method for correcting partial discharge output signals according to one embodiment;

FIG. 2 is a signal acquisition wiring diagram of a partial discharge sensor in one embodiment;

FIG. 3 is an equivalent circuit diagram of a partial discharge sensor in one embodiment;

FIG. 4 is a schematic flow chart illustrating a method for correcting partial discharge output signals according to yet another embodiment;

FIG. 5 is a schematic diagram illustrating an amplitude-frequency characteristic curve and a phase-frequency characteristic curve of an impulse signal measured by a frequency sweep in an embodiment;

FIG. 6 is a schematic flow chart illustrating a method for correcting partial discharge output signals according to yet another embodiment;

FIG. 7 is a schematic flow chart illustrating a method for correcting partial discharge output signals according to yet another embodiment;

FIG. 8 is a graph comparing the amplitude-frequency and phase-frequency characteristic curves of the corrected output signal with the actual output signal measurement results in one embodiment;

FIG. 9 is a block diagram of an embodiment of a device for correcting partial discharge output signals;

FIG. 10 is a diagram showing an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

With the development of national economy, the demand of society for electric power is increasing continuously, and the high-capacity power supply puts higher requirements on the safe and stable operation of electric power equipment. The electric power equipment is influenced by various factors such as an electric field, a magnetic field, environmental pressure, human factors and the like during operation, and the insulation of the electric power equipment is easy to age or damage, so that faults are caused. Among many insulation faults, the early stage of the fault is often accompanied by a partial discharge phenomenon. Therefore, detecting and locating partial discharges is an effective means of preventing the occurrence of faults in electrical equipment.

The occurrence of partial discharge is accompanied by signals such as electricity, heat, sound, and light, and among many accompanying signals, an electric signal is a signal generally used for detection and localization of partial discharge. The electric signal generated when the partial discharge occurs is a high-frequency pulse signal, and the partial discharge detection and positioning technology based on the high-frequency pulse signal generally adopts a characteristic identification method to identify the partial discharge signal and adopts a traveling wave method to position the position where the partial discharge signal occurs, and both the methods are based on the premise of correctly acquiring the high-frequency pulse signal of the partial discharge. Sensors for acquiring partial discharge high-frequency pulse signals at the present stage can be classified into two categories, namely, inductive and capacitive. Among them, some inductive sensors, such as HFCTHigh Frequency communication (hf) sensors, are widely used due to their advantages of good insulation, easy installation, and high reliability. Because the sensor has certain frequency characteristics, the introduction of the sensor can change detection signals inevitably, and certain difference exists in output signals, thereby influencing the identification and positioning of partial discharge. Therefore, some correction of the sensor output signal is required.

At present, a common correction method is a terminal injection method, and the method firstly injects voltage pulses into equipment, measures the voltage pulses by using a sensor, calculates a ratio of the quantity of the injected pulses to an output signal of the sensor as a correction ratio, and finally calculates a real partial discharge signal by using the correction ratio. The method can correct the amplitude of the partial discharge signal to a certain extent, but considering the frequency characteristics of the sensor, the attenuation and dispersion degrees of signals with different frequencies are different, and particularly for the partial discharge signal with complex frequency, the method cannot correct the output signal of the sensor well.

In view of the above problems in the related art, embodiments of the present invention provide a method for correcting a partial discharge output signal, where the method may be applied to a server, and the server may be implemented by an independent server or a server cluster formed by multiple servers. It should be noted that, the numbers of "a plurality" and the like mentioned in the embodiments of the present application each refer to a number of "at least two", for example, "a plurality" refers to "at least two".

Before describing the specific implementation of the embodiment of the present invention, a description will be given of a main application scenario of the embodiment of the present invention. The method for correcting the partial discharge output signal is mainly applied to an application scene that the sensor is used for correcting the output signal generated by partial discharge, and the method is mainly used for solving a correction formula for the discharge output signal so as to quickly correct the output signal of the same kind of partial discharge sensor when the field of the output signal is subsequently detected.

In combination with the content of the foregoing embodiments, in an embodiment, as shown in fig. 1, there is provided a method for correcting a partial discharge output signal, which is applied to a server, and is described by taking an execution subject as an example of the server, the method includes the following steps:

101. establishing an equivalent circuit of a partial discharge sensor to be corrected, and establishing an equivalent circuit mathematical model of the equivalent circuit;

102. inputting a preset pulse signal to the partial discharge sensor to obtain an output signal generated by the partial discharge sensor;

103. according to a preset pulse signal and an output signal, solving parameters of an equivalent circuit mathematical model;

104. and solving a correction formula of the output signal based on the parameters of the equivalent circuit mathematical model, and correcting the output signal according to the correction formula.

In step 101, in order to measure a sensing signal of a partial discharge sensor, a signal acquisition circuit needs to be constructed for the partial discharge sensor, as shown in fig. 2, the signal acquisition circuit of the partial discharge sensor includes a signal collector 201, a partial discharge sensor 202 to be detected, a sweep frequency sampling resistor 203, a data collector 204, and a PC terminal 205; the signal collector 201 is configured to provide a preset pulse signal to the sweep frequency sampling resistor 203 and the partial discharge sensor 202, the data collector 204 is configured to collect a current in the sweep frequency sampling resistor 203, and the data collector 204 is configured to collect an output voltage of the partial discharge sensor 202 and voltages at two ends of the sweep frequency sampling resistor 203.

Analyzing the partial discharge sensor in fig. 2 to construct a signal acquisition circuit, only the correlation between the preset pulse signal and the output signal in the partial discharge sensor needs to be concerned, that is, the correction formula of the output signal is obtained, so that the output signal of the partial discharge sensor is as close to the preset pulse signal as possible. The invention uses a simple circuit to replace the partial discharge sensor, simplifies the problem, and uses the equivalent circuit to assume the parameters of the middle element of the partial discharger, thereby conveniently assuming the interference parameters of the partial discharge sensor to the output signal.

The equivalent circuit is described with reference to fig. 3, in fig. 3, the partial discharge sensor is equivalent to the partial discharge sensorLocal discharger coil L, local discharge sensor sampling resistor Rs, local discharger capacitor C, and local discharge sensor resistors R, I_inThe induced current input to the partial discharge sensor in FIG. 2, i.e., the current sampled by the sweep sampling resistor in FIG. 2, I₂Is the induced current of the partial discharge sensor, V_outIs the output voltage generated by the partial discharge sensor.

Generally, a transfer function is generally used for analyzing a filter system such as a single-input and single-output filter system, and is mainly used for signal processing, communication theory and control theory. This term is often used exclusively for linear time invariant systems (LTI) as described herein. The actual system basically has nonlinear input and output characteristics, but the operation state of many systems in the range of nominal parameters is very close to linearity, so that the input and output behaviors of the systems can be completely expressed by linear time-invariant system theory in practical application. In a specific application scenario, a function containing a complex variable is generally used to describe a transformation characteristic of an impulse signal, so that the impulse signal is simplified from a laplace transform containing complex parameters to a real-parameter fourier transform representation.

For the simplest continuous-time input signal x (t) and output signal y (t), the transfer function H(s) reflects the Laplace transform of the input signal under the condition of zero stateWith Laplace transform of the output signalThe linear mapping relationship between them, in particular, the transfer function h(s) is expressed as:

in one embodiment, the mathematical equivalent circuit model uses a transfer function to represent the relationship between the output signal and the input signal, and the formula of the transfer function g(s) is:

wherein, V_out(s) is the output signal of the partial discharge sensor, I_in(s) is a preset pulse signal input by the partial discharge sensor, M is the mutual inductance of the partial discharge sensor, L is the leakage inductance of a partial discharge sensor coil, R is the direct current resistance of the partial discharge sensor coil, C is the coupling capacitance of the partial discharge sensor, Rs is the resistance of a sampling resistor in the partial discharge sensor, j represents the imaginary part of a complex number, omega is the angular frequency of the signal, and G(s) is an equivalent circuit mathematical model represented by a transfer function.

In step S103, as shown in fig. 4, the calculating of the parameters of the mathematical model of the equivalent circuit according to the preset pulse signal and the output signal includes:

401. performing linear transformation on the transfer function to obtain a first transfer function comprising unknown parameters and angular frequency;

402. constructing a second transfer function comprising a real part parameter and an imaginary part parameter based on the transfer function, wherein the function value of the first transfer function is equal to the function value of the second transfer function;

403. inputting a preset pulse signal, and generating an amplitude-frequency characteristic curve value and a phase-frequency characteristic curve value corresponding to the frequency of the output signal and the output signal;

404. according to the amplitude-frequency characteristic curve value and the phase-frequency characteristic curve value corresponding to the output signal, calculating a real part parameter and an imaginary part parameter in the second transfer function;

405. and solving the unknown parameters in the first transfer function based on the real part parameters and the imaginary part parameters in the second transfer function.

In step 401, the method is obtained by substituting s ═ j ω into equation (1) and transforming equation 1, and then the transformed transfer function is expressed by using unknown parameters a, b, and c, so as to obtain a first transfer function, which is shown in equation (2):

wherein a, b, c, d and M are unknown coefficients, by representing unknown parameters in the partial discharge sensor through a, b and c, the interference parameters of the partial discharge sensor to the output signal are conveniently assumed

In step S402, the real part parameter R is assumed_ωAnd a complex parameter X_ωThe real and imaginary parts of a second transfer function in the form of a complex representation of the transfer function, the second transfer function being as shown in equation (3):

G(jω)＝R_ω+jX_ω (3)

wherein the first transfer function (2) and the second transfer function (3) are equal in value.

Due to the fact that the output signals of different frequencies correspond to the determined real part parameter R_ωAnd a complex parameter X_ωTherefore, real part parameters R corresponding to output signals of different frequencies can be determined through strategy_ωAnd a complex parameter X_ωFitting an expression of a second function to obtain a real part parameter R_ωAnd a complex parameter X_ωIs described in (1). By constructing the first transfer function (2) and the second transfer function (3) to have equal function values, the unknown parameter in the first transfer function (1) can be determined.

In step S403, a preset pulse signal may be input into the signal collecting circuit of the partial discharge sensor, and an amplitude-frequency characteristic curve value and a phase-frequency characteristic curve value corresponding to the output signal and the output signal frequency are generated.

In one embodiment, as shown in FIG. 5, to obtain R at different frequencies_ωAnd X_ωThe amplitude-frequency characteristic curve and the phase-frequency characteristic curve of the partial discharge sensor can be obtained in a frequency sweeping mode. Single injection during frequency sweepThe sinusoidal signal of frequency utilizes partial discharge sensor measurement simultaneously, and the frequency reference of sinusoidal signal is partial discharge signal frequency range recommended in IEC885-3 standard, and the minimum frequency is 20KHz, and the maximum frequency is 2MHz, and the sweep frequency step length is 5KHz in the 20KHz ~ 100KHz scope, is 500KHz in the 100KHz ~ 2MHz scope. The single frequency sinusoidal signal is used to represent the pulse signal generated by the partial discharge.

Since the amplitude-frequency characteristic value and the phase-frequency characteristic value are functions in the complex domain, the amplitude-frequency characteristic value and the phase-frequency characteristic value in fig. 5 correspond to frequencies in the same complex domain, and images of the amplitude-frequency characteristic value and the phase-frequency characteristic value are symmetrical.

In step 404, as shown in formula (3), the amplitude-frequency characteristic of the output signal is represented by | G (j ω) |, where "G (j ω) is the phase-frequency characteristic of the output signal, and the value of the transfer function can be obtained according to the amplitude-frequency characteristic curve value and the phase-frequency characteristic curve value corresponding to the output signal, and then the real part parameter and the imaginary part parameter in the second transfer function are obtained by the formula of the transfer function value, specifically:

G(jω)＝|G(jω)|∠G(jω)＝R_ω+jX_ω (3)

specifically, the formula (4) is a calculation formula of amplitude-frequency characteristic | G (j ω) | of the amplitude-frequency characteristic curve; formula (5) is a calculation formula of the phase frequency characteristic curve G (j ω):

∠G(jω)＝∠V_ch1(jω)-∠V_ch2(jω) (5)

in the formula (4) and the formula (5), | V_ch1(j ω) | is the amplitude of the voltage waveform of the output signal, | V_ch2(j ω) | amplitude, R, of voltage waveform across swept-frequency sampling resistor in fig. 2_ch2Is the resistance value of the sweep frequency sampling resistor, and is angle V_ch1(j ω) is the phase angle of the voltage waveform of the H output signal,. angle V_ch2And (j ω) is the phase angle of the voltage waveform at the end of the sweep sampling resistor.

In the formula (6) and the formula (7), based on EulerThe formula is used for substituting the amplitude-frequency characteristic value and the phase-frequency characteristic value into an Euler formula to calculate the real part parameter R_ωAnd an imaginary parameter X_ωThat is to say that,

R_ω＝|G(jω)|cos(∠G(jω)) (6)

X_ω＝|G(jω)|sin(∠G(jω)) (7)

in step 405, the real part parameter R is expressed by formula (8)_ωAnd an imaginary parameter X_ωSubstituting the solution equation to obtain a linear equation set related to the unknown coefficients a, b and c;

in equation (8), ω n represents different injection signal frequencies. From the expression of the equations, it can be found that the number of the equation equations is larger than the number of the unknowns, that is, an over-determined equation is adopted, so that the solution can be performed by the least square method. The above equation can be abbreviated as formula (9):

A×X＝B (9)

in formula (9), A represents the X real part parameter R_ωAnd an imaginary parameter X_ωX represents a correlation matrix of unknown parameters, and a formula (10) solved by a least square method is shown as follows;

X＝(A^TA)^-1A^TB (10)

in equation (10), AT represents the transpose of matrix a.

Through the above process, the unknown parameters of the first transfer function can be found through the equations (1) to (10), thereby further finding the expression of the transfer function.

In step 104, in the step of obtaining the expression of the transfer function, it is further required to obtain a correction formula of the output signal based on the expression of the transfer function, as shown in fig. 6, step 104 includes:

601. based on the parameters of the equivalent circuit mathematical model, solving an inverse function of the equivalent circuit mathematical model;

and 602, discretizing the inverse function to obtain a correction formula of the output signal, wherein the correction formula corresponds to the partial discharge sensor.

In step 601, the inverse of transfer function G(s) is transferred to^-1Can be expressed by the following formula (11):

in consideration of the fact that a data acquisition unit is adopted to acquire a discrete signal of a partial discharge waveform during partial discharge monitoring, discretization operation is required.

In a specific process, as shown in fig. 7, in step 602, discretizing the inverse function, and obtaining a correction formula corresponding to the output signal, the partial discharge sensor of the correction formula includes:

701. carrying out bilinear transformation on the inverse function to obtain a correction value of an output signal in a negative number domain;

702. and calculating the discrete time sequence of the correction value of the output signal to obtain a correction formula of the output signal of the partial discharge sensor.

In step S701, the inverse function G (S) is applied^-1Carrying out bilinear transformation to obtain a formula (12);

wherein, G (z)^-1For the inverse transfer function in the complex field, z ═ e^sTAnd T denotes a sampling period for the output signal. Therefore, corrected partial discharge signal z-domain expressionCan be expressed as formula (13);

to pairThe computing formula carries out z inverse transformation to obtain the corrected partial discharge discrete sequenceIs the formula (14)

As shown in fig. 8, the solid line represents the measured value of the input signal, and the dotted line represents the corrected value of the output signal after correction, and fig. 8 verifies that the above correction formula has a good effect on the corrected signal of the output signal in the preset pulse signal through the fitting of the solid line and the virtual line.

The invention designs a method for correcting the frequency characteristic of a partial discharge sensor aiming at the partial discharge sensor, the method deduces a transfer function of a transmission signal of the partial discharge sensor based on an equivalent circuit of the partial discharge sensor, namely, an output signal is corrected through the transfer function, and the method comprises the steps of constructing a solution equation of an unknown coefficient in the transfer function; acquiring amplitude-frequency and phase-frequency characteristic curves of output signals in a frequency sweeping mode; substituting the numerical values of the amplitude-frequency characteristic curve and the phase-frequency characteristic curve into a solving equation, and calculating an unknown coefficient in the transfer function by adopting a least square method to obtain an equivalent transfer function; in order to obtain the frequency characteristic of the correction output signal, the inverse transfer function of the partial discharge sensor is calculated, and a correction formula of the output signal related to the inverse transfer function is obtained through bilinear transformation and z inverse transformation, wherein the correction formula is used for correcting the output signal of the partial discharge sensor. By the method, the output signal of the partial discharge sensor is corrected, the influence of the frequency characteristic of the partial discharge sensor on the partial discharge signal is effectively reduced, more accurate data is provided for the detection and positioning of partial discharge, and the accuracy and precision of the detection and positioning of partial discharge are improved.

It should be understood that, although the steps in the flowcharts of fig. 1, 4, 6 and 7 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2, 3, 4, and 5 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least some of the other steps.

It should be noted that the technical solutions described above may be implemented as independent embodiments in actual implementation processes, or may be combined with each other and implemented as combined embodiments. In addition, when the contents of the embodiments of the present invention are described above, the different embodiments are described according to the corresponding sequence only based on the idea of convenient description, for example, the sequence of the data flow is not limited to the execution sequence between the different embodiments, nor is the execution sequence of the steps in the embodiments limited. Accordingly, in the actual implementation process, if it is necessary to implement multiple embodiments provided by the present invention, the execution sequence provided in the embodiments of the present invention is not necessarily required, but the execution sequence between different embodiments may be arranged according to requirements.

In combination with the contents of the above embodiments, in one embodiment, as shown in fig. 9, there is provided a partial discharge output signal correction apparatus including: a model determining unit 901, a signal input unit 902, and a second determining module 902, wherein:

a model determining unit 901, configured to establish an equivalent circuit of a partial discharge sensor to be corrected, and construct an equivalent circuit mathematical model of the equivalent circuit;

a signal input unit 902, configured to input a preset pulse signal to the partial discharge sensor, and obtain an output signal generated by the partial discharge sensor;

the parameter determining unit 903 is used for solving parameters of the equivalent circuit mathematical model according to the preset pulse signal and the output signal;

and the correction unit is used for solving a correction formula of the output signal based on the parameters of the equivalent circuit mathematical model and correcting the output signal according to the correction formula.

In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 10. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the preset threshold value. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a high altitude parabolic detection method.

Those skilled in the art will appreciate that the architecture shown in fig. 10 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:

establishing an equivalent circuit of a partial discharge sensor to be corrected, and establishing an equivalent circuit mathematical model of the equivalent circuit;

inputting a preset pulse signal to the partial discharge sensor to obtain an output signal generated by the partial discharge sensor;

according to a preset pulse signal and an output signal, solving parameters of an equivalent circuit mathematical model;

and solving a correction formula of the output signal of the partial discharge sensor based on the parameters of the equivalent circuit mathematical model, and correcting the output signal according to the correction formula.

In one embodiment, the equation of the mathematical equivalent circuit model g(s) is:

wherein, V_oit(s) is the output signal of the partial discharge sensor, I_in(s) is a preset pulse signal input by the partial discharge sensor, M is the mutual inductance of the partial discharge sensor, L is the leakage inductance of a partial discharge sensor coil, R is the direct current resistance of the partial discharge sensor coil, C is the coupling capacitance of the partial discharge sensor, Rs is the resistance of a sampling resistor in the partial discharge sensor, j represents the imaginary part of a complex number, omega is the angular frequency of the signal, and G(s) is an equivalent circuit mathematical model represented by a transfer function.

In one embodiment, the processor, when executing the computer program, further performs the steps of:

performing linear transformation on the transfer function to obtain a first transfer function comprising unknown parameters and angular frequency;

constructing a second transfer function comprising a real part parameter and an imaginary part parameter based on the transfer function, wherein the function value of the first transfer function is equal to the function value of the second transfer function;

inputting a preset pulse signal, and generating an amplitude-frequency characteristic curve value and a phase-frequency characteristic curve value corresponding to the frequency of the output signal and the output signal;

according to the amplitude-frequency characteristic curve value and the phase-frequency characteristic curve value corresponding to the output signal, calculating a real part parameter and an imaginary part parameter in the second transfer function;

and solving the unknown parameters in the first transfer function based on the real part parameters and the imaginary part parameters in the second transfer function.

In one embodiment, the preset pulse signal comprises a single sinusoidal signal, and the frequency range of the single sinusoidal signal is 20KHz to 2 MHz; wherein, when the frequency range of the single sinusoidal signal is 20KHz to 100KHz, the sweep frequency step length of the single sinusoidal signal is 5 KHz; when the frequency range of the single sine signal is 100KHz to 2MH, the sweep step length of the single sine signal is 500 KHz.

In one embodiment, the processor, when executing the computer program, further performs the steps of:

according to the amplitude-frequency characteristic curve value and the phase-frequency characteristic curve value, calculating a real part parameter and an imaginary part parameter;

establishing a linear equation system of the real part parameter and the imaginary part parameter in the second transfer function relative to the unknown parameter;

and solving unknown coefficients in the linear equation set based on a least square method.

In one embodiment, the processor, when executing the computer program, further performs the steps of:

based on the parameters of the equivalent circuit mathematical model, solving an inverse function of the equivalent circuit mathematical model;

and carrying out discretization operation on the inverse function to obtain a correction formula of the output signal.

In one embodiment, the processor, when executing the computer program, further performs the steps of:

carrying out bilinear transformation on the inverse function to obtain a correction value of an output signal in a negative number domain;

and calculating the discrete time sequence of the correction value of the output signal to obtain a correction formula of the output signal of the partial discharge sensor.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.