Generator stator winding partial discharge detection denoising and positioning method, system and device and storage medium

Abstract

The invention discloses a generator stator winding partial discharge detection denoising and positioning method, system and device, and a storage medium. The method comprises the following steps: S1, obtaining a sound signal and an electric signal generated by partial discharge; s2, combining the sound signal and the electric signal into a signal sequence, and constructing a Hankel matrix based on the signal sequence; s3, performing singular value decomposition on the Hankel matrix to respectively obtain singular value sequences of the sound signal and the electric signal; s4, extracting a singular value by adopting a threshold selection method; s5, reconstructing a Hankel matrix according to the extracted singular value, carrying out anti-Hankel processing on the reconstructed matrix, and converting the reconstructed matrix into a one-dimensional signal again to obtain a noise-removed electric signal and a noise-removed sound signal; and S6, extracting time domain features of the electric signal and the sound signal, and calculating to obtain a partial discharge position based on the time difference of the electric signal and the sound signal in combination with the sound velocity. And the partial discharge monitoring accuracy of the generator rotor can be obviously improved.

Description

Technical Field

[0001] The present invention belongs to the field of partial discharge detection, and relates to a method, system, device and storage medium for denoising and positioning partial discharge in a generator stator winding. Background Art

[0002] In the power system, as a core device, the safe and stable operation of the generator plays a decisive role in the reliability of the entire power grid. The stator winding is one of the key components of the generator. Due to long-term operation in a complex electromagnetic environment and mechanical stress conditions, problems such as insulation aging are likely to occur, which in turn leads to partial discharge phenomena. Partial discharge is not only an early sign of insulation failure, but also the discharge signals generated contain rich equipment status information. Accurately detecting and analyzing these signals is of great significance for early discovery of potential fault hazards and ensuring the safe and stable operation of the generator.

[0003] However, in the actual detection process, partial discharge signals are usually interfered by various noises. These noise sources are extensive, including electromagnetic interference in the power system, the noise of the detection equipment itself, and the noise in the surrounding environment, etc. The presence of noise makes the partial discharge signals unclear, seriously affecting the extraction and analysis of signal characteristics, and thus reducing the accuracy and reliability of fault diagnosis.

[0004] Traditional filtering methods, such as low-pass filtering, band-pass filtering, etc., although they can filter out some noises to a certain extent, have poor adaptability to complex noise environments. These methods often filter based on fixed frequency characteristics and are difficult to flexibly adjust for different types of noises. When the frequency components of the noise overlap with those of the partial discharge signals, traditional filtering methods will inevitably lose some useful signals while removing the noise, resulting in signal distortion and affecting the accuracy of subsequent fault diagnosis. Summary of the Invention

[0005] The purpose of the present invention is to overcome the above-mentioned disadvantages of the prior art, and provide a method, system, device and storage medium for denoising and positioning partial discharge in a generator stator winding, which avoids the limitation of the SVD method by a single threshold determination method and can significantly improve the accuracy of partial discharge monitoring of the generator rotor.

[0006] To achieve the above purpose, the present invention adopts the following technical solutions: A method for denoising and positioning partial discharge in a generator stator winding includes the following processes: S1, acquiring the acoustic signal and electrical signal generated by partial discharge; S2, combining the acoustic signal and electrical signal into a signal sequence, and constructing a Hankel matrix based on the signal sequence; S3. Perform singular value decomposition on the Hankel matrix to obtain the singular value sequences of the acoustic signal and the electrical signal respectively; S4. Use a threshold selection method to extract the singular values; S5. Reconstruct the Hankel matrix based on the extracted singular values, perform anti-Hankelization on the reconstructed Hankel matrix, and re-convert it into a one-dimensional signal to obtain the noise-removed electrical signal and acoustic signal; S6. Extract the time-domain features of the electrical signal and the acoustic signal, and calculate the partial discharge location based on the time difference between the electrical signal and the acoustic signal and the sound speed.

[0007] Preferably, in S1, the sampling frequency of the acoustic signal is greater than 200 kHz, and the sampling frequency of the electrical signal is greater than 10 MHz.

[0008] Preferably, in S2, after obtaining the singular value sequences of the acoustic signal and the electrical signal, sort the eigenvalues in the singular value sequences according to the numerical size.

[0009] Preferably, the specific process of S4 is: adopt two threshold selection methods, select the method with the minimum signal-to-noise ratio and mean square error of the processed signal, and extract the singular values.

[0010] Preferably, the two threshold selection methods include the differential spectrum method and the energy ratio method.

[0011] Preferably, the process of the differential spectrum method is: calculate the singular value difference sequence, determine the singular value k corresponding to the maximum difference value, and retain the first k i singular values.

[0012] Preferably, the process of the energy ratio method is: set an energy ratio threshold p, and select the first k g singular values k that are the smallest.

[0013] A denoising and positioning system for partial discharge detection of a generator stator winding, comprising: A signal acquisition module for acquiring the acoustic signal and the electrical signal generated by partial discharge; A matrix construction module for combining the acoustic signal and the electrical signal into a signal sequence and constructing a Hankel matrix based on the signal sequence; A singular value decomposition module for performing singular value decomposition on the Hankel matrix to obtain the singular value sequences of the acoustic signal and the electrical signal respectively; A singular value extraction module for using a threshold selection method to extract the singular values; A reconstruction and dimensionality reduction module for reconstructing the Hankel matrix according to the extracted singular values, performing anti-Hankelization on the reconstructed Hankel matrix, and re-converting it into a one-dimensional signal to obtain the noise-removed electrical signal and acoustic signal; A position calculation module is used to extract the time-domain features of electrical signals and acoustic signals, and based on the time difference between the electrical signals and the acoustic signals, calculate the partial discharge position in combination with the sound velocity.

[0014] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for denoising and positioning partial discharge in the generator stator winding are implemented.

[0015] A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the steps of the method for denoising and positioning partial discharge in the generator stator winding are implemented.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention breaks through the limitation of a single sensor. By exploring the spatio-temporal correlation of acoustic-electric signals (such as the synchronism of discharge events and the consistency of propagation paths), a joint denoising framework is constructed to solve the problem that a single signal is vulnerable to interference in a strong noise environment. Two methods, namely the differential spectrum method and the energy ratio method, are adopted to determine the adaptive threshold, avoiding the under-deletion and over-deletion situations of the traditional SVD threshold screening, and comprehensively considering the characteristics of acoustic and electrical signals for denoising. The traditional SVD relies on a fixed threshold or a single criterion and has poor adaptability to complex working conditions; this method more precisely separates the discharge characteristics in strong noise through the collaborative optimization of double thresholds. Description of the Drawings

[0017] Figure 1 It is a flowchart of the method for denoising and positioning partial discharge in the generator stator winding of the present invention. Detailed Embodiments

[0018] The following details the embodiments of the present invention. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions from beginning to end. The embodiments described below with reference to the drawings are exemplary and are only used to explain the present invention and should not be construed as a limitation of the present invention.

[0019] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present invention. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of the said features. In the description of the present invention, "a plurality of" means two or more unless otherwise specifically defined.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs. The terms "mounted", "connected" and "coupled" shall be construed broadly, for example, they may be fixedly connected, detachably connected or integrally connected; they may be mechanically connected, electrically connected or may communicate with each other; they may be directly connected or indirectly connected through an intermediate medium, and may be the internal communication of two elements or the interaction relationship between two elements. The term "and / or" used herein includes any and all combinations of one or more of the related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention may be understood according to specific circumstances. The terms used in the description of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0021] In the present invention, unless otherwise clearly defined and limited, the fact that the first feature is "on" or "under" the second feature may include the direct contact between the first and second features, or may include the situation where the first and second features are not in direct contact but in contact through additional features therebetween. Moreover, the fact that the first feature is "above", "over" and "on top of" the second feature includes that the first feature is directly above and obliquely above the second feature, or merely means that the horizontal height of the first feature is higher than that of the second feature. The fact that the first feature is "under", "beneath" and "underneath" the second feature includes that the first feature is directly below and obliquely below the second feature, or merely means that the horizontal height of the first feature is lower than that of the second feature.

[0022] The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and settings of specific examples are described below. Of course, they are only examples and are not intended to limit the present invention. In addition, the present invention may repeat reference numerals and / or reference letters in different examples. This repetition is for the purpose of simplification and clarity, and does not itself indicate the relationship between various embodiments and / or settings discussed. In addition, the present invention provides examples of various specific processes and materials, but those of ordinary skill in the art can be aware of the application of other processes and / or the use of other materials.

[0023] As Figure 1 shown, the method for denoising and positioning partial discharge of the generator stator winding described in the present invention includes the following processes: Step 1: Collect data and perform data preprocessing.

[0024] Collect partial discharge data of the generator stator. The data types mainly include acoustic signals and electrical signals.

[0025] The acoustic signal collects the acoustic emission signal generated by partial discharge through an ultrasonic sensor, and the sampling frequency is concentrated above 200 kHz. The electrical signal collects the partial discharge pulse current signal through a high-frequency current transformer (HFCT) or a capacitive coupler, and the sampling frequency is concentrated above 10 MHz. In order to avoid the influence of dimension on data analysis, data Z-score is used for standardization processing.

[0026]

[0027] In the formula: represents the original data point, represents the average value of the data set, represents the standard deviation of the data set, represents the value after standardization.

[0028] Step 2: Construct a signal matrix.

[0029] Combine the above-collected signals into a signal sequence , and convert the one-dimensional signal into a Hankel matrix suitable for SVD processing.

[0030] Construct an m×n Hankel matrix H:

[0031] In the formula, m = N / 2 and n = N - m + 1.

[0032] (3) Step 3: SVD decomposition and singular value extraction.

[0033] Singular value decomposition is an important matrix decomposition technique, which is widely used in the fields of signal processing, statistics, machine learning, etc. SVD decomposition can decompose an arbitrary matrix into the product of three specific matrices, thus revealing many important properties of the original matrix.

[0034] Perform SVD decomposition, perform singular value decomposition on the Hankel matrix:

[0035] where: U and V are orthogonal matrices, is a diagonal matrix.

[0036] Extract the singular value sequences of the electrical signal and the acoustic signal respectively, and sort the eigenvalues in the singular value sequence according to the numerical size.

[0037] Step 4: Adaptive threshold design for partial discharge pulses.

[0038] Two threshold selection methods are adopted. By comparing the signal-to-noise ratio and mean square error of the processed signal, the method corresponding to the minimum value is used to determine the method for confirming the adaptive threshold. The differential spectrum method has the characteristics of strong local feature sensitivity. It can amplify the rapid changes of the signal (such as pulses, steps) through differential operations, and can accurately capture transient events such as partial discharge for mutation detection. The energy ratio method automatically determines the threshold by accumulating the energy ratio, ensuring that the main components of the signal are retained and avoiding the interference of subjective experience, and has strong robustness.

[0039] 1. Differential spectrum method: Calculate the singular value difference sequence , determine the singular value k corresponding to the maximum difference value, and retain the first k i singular values.

[0040]

[0041] 2. Energy ratio method: Set the energy ratio threshold p, and select the smallest first k g singular values k such that

[0042] Finally, select the truncation point , taking into account the signal mutation point and the energy dominant component.

[0043] Step 5: Signal reconstruction and post-processing.

[0044] Construct a dimensionality reduction matrix , and reconstruct the Hankel matrix:

[0045] The dimensionality reduction matrix is de-Hankelized to re-convert H’ into a one-dimensional signal, obtaining the electrical signal and acoustic signal with noise removed.

[0046] Step Six: Joint analysis of acoustic and electrical signals After denoising the electrical signal and acoustic signal respectively, extract the time-domain features (peak value, rise time) of the electrical signal and acoustic signal. Based on the time difference between the electrical signal and acoustic signal , and calculate the discharge position in combination with the sound speed:

[0047] In the formula: V is the propagation speed of sound waves in the medium.

[0048] The following is an apparatus embodiment of the present invention, which can be used to execute the method embodiment of the present invention. For details not disclosed in the apparatus embodiment, please refer to the method embodiment of the present invention.

[0049] In another embodiment of the present invention, a system for detecting, denoising, and locating partial discharge in a generator stator winding is provided. This system for detecting, denoising, and locating partial discharge in a generator stator winding can be used to implement the above-mentioned method for detecting, denoising, and locating partial discharge in a generator stator winding. Specifically, this system for detecting, denoising, and locating partial discharge in a generator stator winding includes a signal acquisition module, a matrix construction module, a singular value decomposition module, a singular value extraction module, a reconstruction and dimensionality reduction module, and a position calculation module.

[0050] Among them, the signal acquisition module is used to acquire the acoustic signal and electrical signal generated by partial discharge.

[0051] The matrix construction module is used to combine the acoustic signal and electrical signal into a signal sequence and construct a Hankel matrix based on the signal sequence.

[0052] The singular value decomposition module is used to perform singular value decomposition on the Hankel matrix to obtain the singular value sequences of the acoustic signal and electrical signal respectively.

[0053] The singular value extraction module is used to extract the singular values by using a threshold selection method.

[0054] The reconstruction and dimensionality reduction module is used to reconstruct the Hankel matrix according to the extracted singular values, de-Hankelize the reconstructed Hankel matrix, and re-convert it into a one-dimensional signal to obtain the electrical signal and acoustic signal with noise removed.

[0055] The position calculation module is used to extract the time-domain features of the electrical signal and acoustic signal, and calculate the partial discharge position based on the time difference between the electrical signal and acoustic signal in combination with the sound speed.

[0056] In another embodiment of the present invention, a terminal device is provided. The terminal device includes a processor and a memory. The memory is used to store a computer program, and the computer program includes program instructions. The processor is used to execute the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding function. The processor described in the embodiment of the present invention can be used for the operation of the method for denoising and positioning partial discharge in the stator winding of a generator, including: S1, acquiring the acoustic signal and electrical signal generated by partial discharge; S2, combining the acoustic signal and electrical signal into a signal sequence, and constructing a Hankel matrix based on the signal sequence; S3, performing singular value decomposition on the Hankel matrix to obtain the singular value sequences of the acoustic signal and electrical signal respectively; S4, using a threshold selection method to extract the singular values; S5, reconstructing the Hankel matrix according to the extracted singular values, performing anti-Hankelization on the reconstructed Hankel matrix, and re-converting it into a one-dimensional signal to obtain the denoised electrical signal and acoustic signal; S6, extracting the time-domain features of the electrical signal and acoustic signal, and calculating the partial discharge position based on the time difference between the electrical signal and acoustic signal and the speed of sound.

[0057] In another embodiment, the present invention also provides a computer-readable storage medium (Memory). The computer-readable storage medium is a memory device in the terminal device and is used to store programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and, of course, the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, and this storage space stores the operating system of the terminal. And, one or more instructions suitable for being loaded and executed by the processor are also stored in this storage space. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory.

[0058] One or more instructions stored in a computer-readable storage medium can be loaded and executed by a processor to implement the corresponding steps of the method for denoising and positioning partial discharge in a generator stator winding in the above embodiments; the one or more instructions in the computer-readable storage medium are loaded and executed by the processor to perform the following steps: S1, acquiring acoustic signals and electrical signals generated by partial discharge; S2, combining the acoustic signals and electrical signals into a signal sequence, and constructing a Hankel matrix based on the signal sequence; S3, performing singular value decomposition on the Hankel matrix to respectively obtain singular value sequences of the acoustic signals and electrical signals; S4, using a threshold selection method to extract the singular values; S5, reconstructing the Hankel matrix according to the extracted singular values, performing anti-Hankelization on the reconstructed Hankel matrix, and re-converting it into a one-dimensional signal to obtain the denoised electrical signals and acoustic signals; S6, extracting the time-domain features of the electrical signals and acoustic signals, and calculating the partial discharge position based on the time difference between the electrical signals and acoustic signals and in combination with the sound velocity.

[0059] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0060] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0061] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0062] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one process or multiple processes and / or blocks Figure 1 One process or multiple processes and / or blocks Figure 1 Steps for implementing the functions specified in one block or multiple blocks.

[0063] The serial numbers of the embodiments of the present application above are only for description and do not represent the advantages or disadvantages of the embodiments.

[0064] In the above embodiments of the present application, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0065] In several embodiments provided in the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only illustrative. For example, the division of the units can be a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of units or modules can be in an electrical or other form.

[0066] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0067] The above is only the preferred embodiment of the present application. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present application, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

[0068] It should be understood that the above description is for illustrative purposes and not for limitation. Many embodiments and many applications other than the examples provided will be apparent to those skilled in the art upon reading the above description. Therefore, the scope of this patent should not be determined with reference to the above description, but should be determined with reference to the full scope of the foregoing claims and the equivalents thereof. For the sake of completeness, all articles and references, including patent applications and publications, are incorporated herein by reference. The omission of any aspect of the subject matter disclosed herein from the foregoing claims is not intended to waive that subject matter, nor should it be considered that the applicant has not considered that subject matter to be part of the disclosed inventive subject matter.

Claims

1. A method for denoising and positioning partial discharge detection of a generator stator winding, characterized in that, It includes the following processes: S1. Obtain the acoustic signal and electrical signal generated by partial discharge; S2. Combine the acoustic signal and electrical signal into a signal sequence, and construct a Hankel matrix based on the signal sequence; S3. Perform singular value decomposition on the Hankel matrix to obtain the singular value sequences of the acoustic signal and electrical signal respectively; S4. Adopt a threshold selection method to extract the singular values; S5. Reconstruct the Hankel matrix according to the extracted singular values, perform anti-Hankelization on the reconstructed Hankel matrix, and re-convert it into a one-dimensional signal to obtain the electrical signal and acoustic signal with noise removed; S6. Extract the time-domain features of the electrical signal and acoustic signal, and calculate the partial discharge position based on the time difference between the electrical signal and acoustic signal and in combination with the sound velocity.

2. The method for denoising and positioning partial discharge detection of a generator stator winding according to claim 1, wherein In S1, the sampling frequency of the acoustic signal is greater than 200 kHz, and the sampling frequency of the electrical signal is greater than 10 MHz.

3. The method for denoising and positioning partial discharge detection of the generator stator winding according to claim 1, wherein In S2, after obtaining the singular value sequences of the acoustic signal and electrical signal, sort the eigenvalues in the singular value sequences according to the numerical magnitude.

4. The partial discharge detection, denoising and positioning method for the generator stator winding according to claim 1, characterized in that The specific process of S4 is: Adopt two threshold selection methods, select the method with the minimum signal-to-noise ratio and mean square error of the processed signal, and extract the singular values.

5. The method for denoising and positioning partial discharge detection of a generator stator winding according to claim 4, wherein The two threshold selection methods include the differential spectrum method and the energy ratio method.

6. The method for denoising and positioning partial discharge detection of a generator stator winding according to claim 5, wherein The process of the differential spectrum method is as follows: calculate the differential sequence of singular values, determine the singular value k corresponding to the maximum differential value, and retain the first k i singular values.

7. The method for denoising and positioning partial discharge detection of the generator stator winding according to claim 5, characterized in that, The process of the energy ratio method is as follows: Set the energy ratio threshold p and select the smallest k g singular values k.

8. A denoising and positioning system for partial discharge detection of a generator stator winding, characterized in that, It includes: A signal acquisition module for obtaining the acoustic signal and electrical signal generated by partial discharge; A matrix construction module for combining the acoustic signal and electrical signal into a signal sequence and constructing a Hankel matrix based on the signal sequence; A singular value decomposition module for performing singular value decomposition on the Hankel matrix to obtain the singular value sequences of the acoustic signal and electrical signal respectively; A singular value extraction module for adopting a threshold selection method to extract the singular values; A reconstruction and dimension reduction module for reconstructing the Hankel matrix according to the extracted singular values, performing anti-Hankelization on the reconstructed Hankel matrix, and re-converting it into a one-dimensional signal to obtain the electrical signal and acoustic signal with noise removed; A position calculation module for extracting the time-domain features of the electrical signal and acoustic signal, and calculating the partial discharge position based on the time difference between the electrical signal and acoustic signal and in combination with the sound velocity.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method for denoising and positioning partial discharge of the generator stator winding according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for denoising and positioning partial discharge of the generator stator winding according to any one of claims 1 to 7.

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