Cable joint discharge signal denoising method and device and electronic equipment

Abstract

The invention discloses a cable joint discharge signal denoising method and device and electronic equipment. The method comprises the following steps: acquiring a target signal corresponding to a cable joint; determining a plurality of signal parameters corresponding to the target signal; determining a plurality of target interference fluctuation segments corresponding to the target signal according to the plurality of signal parameters; peak value parameters corresponding to the multiple target interference fluctuation segments are determined, and secondary peak value parameters corresponding to the multiple peak value parameters are determined; determining a plurality of interference frequency parameters according to frequency parameters corresponding to the plurality of peak parameters and frequency parameters of secondary peak parameters corresponding to the plurality of peak parameters; and de-noising the target signal according to the plurality of interference frequency parameters, and determining a de-noised signal corresponding to the cable joint. According to the invention, the technical problem of inaccurate discharge detection of the cable joint caused by poor denoising effect of the discharge signal of the cable joint during discharge detection of the cable joint is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of discharge detection, in particular to a cable joint discharge signal denoising method and device and electronic equipment. BACKGROUND

[0002] In the related art, the discharge of the cable joint needs to be detected to realize the diagnosis and early warning of the early fault of the cable joint. However, in a complex environment, the discharge signal of the cable joint will be disturbed by noise. In the related art, when the discharge of the cable joint is detected, the discharge signal of the cable joint has poor denoising effect, which leads to inaccurate discharge detection of the cable joint.

[0003] In view of the above problems, no effective solution has been proposed so far. SUMMARY

[0004] The embodiments of the present application provide a cable joint discharge signal denoising method, device and electronic equipment to at least solve the technical problem that when the discharge of the cable joint is detected, the discharge signal of the cable joint has poor denoising effect, which leads to inaccurate discharge detection of the cable joint.

[0005] According to an aspect of an embodiment of the present application, a cable joint discharge signal denoising method is provided, comprising: acquiring a target signal corresponding to a cable joint; determining a plurality of signal parameters corresponding to the target signal, wherein the plurality of signal parameters respectively include a frequency parameter, and an amplitude parameter corresponding to the frequency parameter; determining a plurality of target interference fluctuation segments corresponding to the target signal according to the plurality of signal parameters; determining a peak value parameter corresponding to each of the plurality of target interference fluctuation segments, and determining a sub-peak value parameter corresponding to each of the plurality of peak value parameters, wherein the corresponding peak value parameter is the maximum parameter in the plurality of amplitude parameters corresponding to the corresponding target interference fluctuation segment; determining a plurality of interference frequency parameters according to the frequency parameters corresponding to each of the plurality of peak value parameters and the frequency parameters of the sub-peak value parameters corresponding to each of the plurality of peak value parameters, wherein the plurality of interference frequency parameters correspond one-to-one to the plurality of peak value parameters; denoising the target signal according to the plurality of interference frequency parameters to determine a denoised signal corresponding to the cable joint.

[0006] Optionally, the determining a plurality of interference frequency parameters according to the frequency parameters corresponding to each of the plurality of peak value parameters and the frequency parameters of the sub-peak value parameters corresponding to each of the plurality of peak value parameters comprises: determining an adjustment index corresponding to each of the plurality of peak value parameters according to the frequency parameters corresponding to each of the plurality of peak value parameters and the frequency parameters of the sub-peak value parameters corresponding to each of the plurality of peak value parameters; determining a plurality of interference frequency parameters corresponding to the target signal according to the adjustment index corresponding to each of the plurality of peak value parameters.

[0007] Optionally, the determining the plurality of interference frequency parameters corresponding to the target signal according to the adjustment indexes corresponding to the plurality of peak parameters comprises: determining a plurality of initial interference parameters according to the adjustment indexes corresponding to the plurality of peak parameters; determining a plurality of first deviation indexes corresponding to the plurality of peak parameters according to the frequency parameters corresponding to the plurality of peak parameters and the plurality of initial interference parameters, wherein the corresponding first deviation index represents a deviation degree between the frequency parameter corresponding to the corresponding peak parameter and the corresponding initial interference parameter; and determining the plurality of interference frequency parameters according to the plurality of initial interference parameters and the plurality of first deviation indexes.

[0008] Optionally, the determining the de-noised signal corresponding to the cable joint according to the target signal and the plurality of interference frequency parameters comprises: determining a guide signal according to the plurality of interference frequency parameters; determining a mixed signal corresponding to the cable joint according to the target signal and the guide signal; determining a guide signal feature parameter corresponding to the guide signal and a mixed signal feature parameter corresponding to the mixed signal; and determining the de-noised signal corresponding to the cable joint according to the target signal, the guide signal feature parameter and the mixed signal feature parameter.

[0009] Optionally, the determining the mixed signal feature corresponding to the mixed signal comprises: determining a fluctuation range parameter corresponding to a mixed signal parameter sequence corresponding to the mixed signal, wherein the mixed signal parameter sequence comprises a plurality of signal parameters; decomposing the mixed signal parameter sequence to obtain a plurality of decomposition parameter sequences corresponding to the mixed signal according to the plurality of signal parameters and the fluctuation range parameter, wherein the plurality of decomposition parameter sequences respectively represent signal parameter sequences under different fluctuation ranges; determining a decomposition signal feature parameter corresponding to each of the plurality of decomposition parameter sequences; and determining the mixed signal feature corresponding to the mixed signal according to the decomposition signal feature parameters corresponding to the plurality of decomposition parameter sequences.

[0010] Optionally, the determining the plurality of target interference fluctuation segments corresponding to the target signal according to the plurality of signal parameters comprises: determining a mean signal parameter corresponding to each of the plurality of signal parameters and a total number of parameters; determining an interference screening index according to the mean signal parameter and the total number of parameters; and determining the plurality of target interference fluctuation segments corresponding to the target signal according to the plurality of signal parameters and the interference screening index.

[0011] Optionally, the determining, according to the plurality of signal parameters, the plurality of target interference fluctuation sections corresponding to the target signal comprises: determining, according to the plurality of signal parameters, a plurality of initial interference fluctuation sections corresponding to the target signal; determining a second deviation index corresponding to each of the plurality of initial interference fluctuation sections; and determining, according to the second deviation index corresponding to each of the plurality of initial interference fluctuation sections, the plurality of target interference fluctuation sections corresponding to the target signal.

[0012] According to an aspect of an embodiment of the present application, there is provided a cable joint discharge signal denoising device, comprising: an acquisition module configured to acquire a target signal corresponding to a cable joint; a first determination module configured to determine a plurality of signal parameters corresponding to the target signal, wherein the plurality of signal parameters respectively comprise a frequency parameter and an amplitude parameter corresponding to the frequency parameter; a second determination module configured to determine, according to the plurality of signal parameters, a plurality of target interference fluctuation sections corresponding to the target signal; a third determination module configured to determine a peak value parameter corresponding to each of the plurality of target interference fluctuation sections, and determine a sub-peak value parameter corresponding to each of the plurality of peak value parameters, wherein the corresponding peak value parameter is a maximum parameter in a plurality of amplitude parameters corresponding to the corresponding target interference fluctuation section; a fourth determination module configured to determine, according to a frequency parameter corresponding to each of the plurality of peak value parameters and a frequency parameter of the sub-peak value parameter corresponding to each of the plurality of peak value parameters, a plurality of interference frequency parameters, wherein the plurality of interference frequency parameters correspond one-to-one to the plurality of peak value parameters; and a fifth determination module configured to denoise the target signal according to the plurality of interference frequency parameters, and determine a denoised signal corresponding to the cable joint.

[0013] According to an aspect of an embodiment of the present application, there is provided an electronic device, comprising: a processor; a memory configured to store instructions executable by the processor; and wherein the processor is configured to execute the instructions to implement the cable joint discharge signal denoising method of any one of the above.

[0014] According to an aspect of an embodiment of the present application, there is provided a computer readable storage medium, when instructions in the computer readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to perform the cable joint discharge signal denoising method of any one of the above.

[0015] In the embodiment of the present application, a target signal corresponding to the cable joint is acquired; a plurality of signal parameters corresponding to the target signal are determined, wherein the plurality of signal parameters respectively include a frequency parameter and an amplitude parameter corresponding to the frequency parameter; a plurality of target interference fluctuation sections corresponding to the target signal are determined according to the plurality of signal parameters; a plurality of peak parameters corresponding to the plurality of target interference fluctuation sections are determined, and a plurality of sub-peak parameters corresponding to the plurality of peak parameters are determined, wherein the corresponding peak parameter is the maximum parameter in the plurality of amplitude parameters corresponding to the corresponding target interference fluctuation section; a plurality of interference frequency parameters are determined according to the frequency parameters corresponding to the plurality of peak parameters and the frequency parameters of the plurality of sub-peak parameters, wherein the plurality of interference frequency parameters correspond to the plurality of peak parameters one by one; the target signal is denoised according to the plurality of interference frequency parameters to determine a denoised signal corresponding to the cable joint. According to the plurality of signal parameters of the target signal, the plurality of target interference fluctuation sections are preliminarily determined, and on this basis, the plurality of peak parameters and the plurality of sub-peak parameters corresponding to the plurality of target interference fluctuation sections are further determined, so as to analyze the specific position of the interference signal, and then the corresponding interference frequency parameters are determined according to the frequency parameters corresponding to the peak parameters and the frequency parameters of the sub-peak parameters, so as to realize accurate denoising of the target signal, thereby solving the technical problem that the discharge signal denoising effect of the cable joint is poor when the discharge detection of the cable joint is performed, and the discharge detection of the cable joint is inaccurate. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings, which are included to provide a further understanding of the present application and are incorporated in and constitute a part of this application, illustrate embodiments of the present application and serve to explain the present application, and do not limit the present application. In the drawings:

[0017] Figure 1 It is a flowchart of a cable joint discharge signal denoising method according to an embodiment of the present application;

[0018] Figure 2 It is a flowchart of a cable joint discharge signal denoising method in an optional embodiment of the present application;

[0019] Figure 3 It is a circuit diagram for detecting a partial discharge signal of a cable joint in an optional embodiment of the present application;

[0020] Figure 4 It is a partial discharge signal simulated by software in an optional embodiment of the present application;

[0021] Figure 5 It is a denoised signal obtained by adding noise in an optional embodiment of the present application;

[0022] Figure 6 It is a partial discharge signal after denoising in an optional embodiment of the present application;

[0023] Figure 7 is a structural block diagram of a cable joint discharge signal denoising device according to an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to make the personnel in the technical field better understand the present application scheme, the technical scheme in the embodiment of the present application will be described clearly and completely in the following with reference to the drawings in the embodiment of the present application. Obviously, the described embodiment is only a part of the embodiment of the present application, not all. Based on the embodiment in the present application, all other embodiments obtained by the person skilled in the art without creative labor should belong to the scope of protection of the present application.

[0025] It should be noted that the terms "first", "second" and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not necessarily limit to those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0026] First, some of the nouns or terms that appear in the description of the embodiments of the present application are applicable to the following explanations:

[0027] Rife algorithm: Rife algorithm is an algorithm for measuring the frequency of a signal, which calculates the frequency based on the phase change of the signal.

[0028] SVD: SVD is a matrix decomposition method, SVD is applied to data dimensionality reduction, image compression, recommendation system and other fields.

[0029] Embodiment 1

[0030] According to the embodiments of the present application, an embodiment of a cable joint discharge signal denoising method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in a different order.

[0031] Figure 1 is a flowchart of a cable joint discharge signal denoising method according to an embodiment of the present application, such asFigure 1 As shown, the method comprises the following steps:

[0032] S102, obtaining a target signal corresponding to the cable joint;

[0033] In step S102 provided in the present application, the target signal corresponding to the cable joint is obtained.

[0034] Among them, the cable joint is involved, which is a device that connects two cables to make the cable line continuous.

[0035] Among them, the target signal is involved, which is a partial discharge signal corresponding to the cable joint, which contains information such as the position, intensity and frequency of partial discharge.

[0036] In the power system, the cable joint is the part of the power cable system where partial discharge is most likely to occur, and its performance and quality are directly related to the safe operation of the power cable line. In the detection of partial discharge of cable joints, the target signal is a signal that reflects the characteristics of the partial discharge of the cable joint. Since the partial discharge signal is usually weak and easily disturbed by noise, subsequent signal processing methods are used to extract and analyze the target signal to achieve accurate detection and diagnosis of the partial discharge of the cable joint.

[0037] S104, determining a plurality of signal parameters corresponding to the target signal, wherein the plurality of signal parameters respectively include a frequency parameter, and an amplitude parameter corresponding to the frequency parameter;

[0038] In step S104 provided in the present application, a plurality of signal parameters corresponding to the target signal are determined.

[0039] Among them, the plurality of signal parameters are involved, which are a series of parameters used to describe the characteristics of the signal extracted from the target signal. These parameters can include frequency parameters, amplitude parameters, etc., which are collectively used to represent the characteristics of the signal.

[0040] Among them, the frequency parameter is involved, which is the frequency component of the signal in the frequency domain. In the detection of partial discharge of the cable joint, the frequency parameter is used to identify and locate the frequency component in the partial discharge signal.

[0041] Among them, the amplitude parameter is involved, which is the intensity or size of each frequency component of the signal in the frequency domain. The amplitude parameter is usually used together with the frequency parameter to describe the spectral characteristics of the signal. In the detection of partial discharge of the cable joint, the amplitude parameter is used to evaluate the intensity of each frequency component, helping to identify and distinguish partial discharge signals and noise interference.

[0042] The frequency parameter is used to identify and locate the specific frequency components in the partial discharge signal, while the amplitude parameter is used to evaluate the intensity of these frequency components. Through the combination of the two parameters, the spectral characteristics of the target signal can be comprehensively characterized to help more accurately identify the interference components in the partial discharge signal subsequently.

[0043] S106, determining a plurality of target interference fluctuation segments corresponding to the target signal according to a plurality of signal parameters;

[0044] In step S106 provided in the present application, a plurality of target interference fluctuation segments corresponding to the target signal are determined according to a plurality of signal parameters.

[0045] Among them, a plurality of target interference fluctuation segments are involved, which are signal fluctuation segments in a specific frequency range in the frequency spectrum of the target signal due to interference sources (such as periodic narrowband interference). These fluctuation segments usually appear as peaks or obvious frequency components in the frequency spectrum, which are different from the characteristic frequencies of the partial discharge signal and can interfere with the detection and analysis of the partial discharge signal.

[0046] In the detection of cable joint partial discharge, the determination of the target interference fluctuation segment is completed by analyzing a plurality of signal parameters (such as frequency parameters and amplitude parameters). Specifically, the frequency range of these fluctuation segments is usually related to the frequency characteristics of the interference source, and the amplitude of these fluctuation segments is usually high and significantly different from the amplitude of the partial discharge signal.

[0047] By identifying and determining these target interference fluctuation segments, further analysis and suppression of the interference can be performed to improve the detection accuracy of the partial discharge signal.

[0048] S108, determining a plurality of peak parameters corresponding to a plurality of target interference fluctuation segments respectively, and determining a plurality of sub-peak parameters corresponding to a plurality of peak parameters respectively, wherein the corresponding peak parameter is the maximum parameter in a plurality of amplitude parameters corresponding to the corresponding target interference fluctuation segment;

[0049] In step S108 provided in the present application, a plurality of peak parameters corresponding to a plurality of target interference fluctuation segments respectively are determined, and a plurality of sub-peak parameters corresponding to a plurality of peak parameters respectively are determined.

[0050] Among them, the peak parameter is involved, which is the maximum value of the amplitude parameter in each target interference fluctuation segment. It reflects the intensity of the most significant frequency component in the interference fluctuation segment. In signal processing, the peak parameter can be used to identify and locate the center frequency of the interference signal.

[0051] The secondary peak value parameter is a second largest amplitude parameter in each target interference fluctuation segment, in addition to the peak value parameter. The secondary peak value parameter can be used to assist in determining the frequency characteristics of the interference signal, especially when there are multiple significant frequency components near the peak value parameter. The secondary peak value parameter can help more accurately estimate the interference frequency.

[0052] By determining the peak value parameter and the secondary peak value parameter, the frequency characteristics of the target interference fluctuation segment can be more accurately identified and analyzed, providing an important basis for subsequent interference suppression and signal denoising.

[0053] In step S110, a plurality of interference frequency parameters are determined according to the frequency parameters corresponding to the plurality of peak value parameters and the frequency parameters corresponding to the secondary peak value parameters corresponding to the plurality of peak value parameters, wherein the plurality of interference frequency parameters correspond one-to-one to the plurality of peak value parameters.

[0054] In step S110 provided in the present application, a plurality of interference frequency parameters are determined according to the frequency parameters corresponding to the plurality of peak value parameters and the frequency parameters corresponding to the secondary peak value parameters corresponding to the plurality of peak value parameters.

[0055] The plurality of interference frequency parameters are parameters representing interference frequency-related characteristics determined by analyzing the frequency parameters corresponding to the peak value parameters and the secondary peak value parameters.

[0056] By comprehensively analyzing the frequency information of the peak value and the secondary peak value parameters, the interference frequency components in the target signal can be accurately identified and located, i.e., the interference frequency can be more accurately estimated, thereby effectively distinguishing the interference signal from the useful signal.

[0057] In step S112, the target signal is denoised according to the plurality of interference frequency parameters to determine a denoised signal corresponding to the cable joint.

[0058] In step S112 provided in the present application, the target signal is denoised according to the plurality of interference frequency parameters to determine a denoised signal corresponding to the cable joint.

[0059] The denoised signal is a pure signal closer to the original partial discharge signal obtained by removing the interference frequency components according to the plurality of interference frequency parameters.

[0060] The denoised signal retains the true characteristics of the cable joint partial discharge and removes the influence of noise and interference, thereby improving the quality and usability of the signal.

[0061] By the steps S102-S112, the target signal corresponding to the cable joint is obtained; a plurality of signal parameters corresponding to the target signal are determined, wherein the plurality of signal parameters respectively include a frequency parameter, and an amplitude parameter corresponding to the frequency parameter; a plurality of target interference fluctuation segments corresponding to the target signal are determined according to the plurality of signal parameters; a plurality of peak value parameters respectively corresponding to the plurality of target interference fluctuation segments are determined, and a plurality of sub-peak value parameters respectively corresponding to the plurality of peak value parameters are determined, wherein the corresponding peak value parameter is the maximum parameter in the plurality of amplitude parameters corresponding to the corresponding target interference fluctuation segment; a plurality of interference frequency parameters are determined according to the frequency parameters respectively corresponding to the plurality of peak value parameters and the frequency parameters of the plurality of sub-peak value parameters respectively corresponding to the plurality of peak value parameters, wherein the plurality of interference frequency parameters correspond to the plurality of peak value parameters one by one; the target signal is denoised according to the plurality of interference frequency parameters to determine a denoised signal corresponding to the cable joint. According to the plurality of signal parameters of the target signal, the plurality of target interference fluctuation segments are preliminarily determined, and on this basis, the plurality of peak value parameters and the plurality of sub-peak value parameters respectively corresponding to the plurality of target interference fluctuation segments are further determined to analyze the specific position of the interference signal, and then the corresponding interference frequency parameters are determined according to the frequency parameters respectively corresponding to the peak value parameters and the frequency parameters of the sub-peak value parameters, so as to realize accurate denoising of the target signal, thereby solving the technical problem that the discharge signal denoising effect of the cable joint is poor when the discharge detection of the cable joint is performed, resulting in inaccurate discharge detection of the cable joint.

[0062] As an optional embodiment, determining the plurality of interference frequency parameters according to the frequency parameters respectively corresponding to the plurality of peak value parameters and the frequency parameters of the plurality of sub-peak value parameters respectively corresponding to the plurality of peak value parameters includes: determining a plurality of adjustment indexes corresponding to the plurality of peak value parameters according to the frequency parameters respectively corresponding to the plurality of peak value parameters and the frequency parameters of the plurality of sub-peak value parameters respectively corresponding to the plurality of peak value parameters; and determining the plurality of interference frequency parameters corresponding to the target signal according to the plurality of adjustment indexes.

[0063] In this embodiment, the specific steps of determining the plurality of interference frequency parameters according to the frequency parameters respectively corresponding to the plurality of peak value parameters and the frequency parameters of the plurality of sub-peak value parameters respectively corresponding to the plurality of peak value parameters are described.

[0064] The adjustment index is related to the adjustment index, which is an index for adjusting the plurality of peak value parameters according to the relative position relationship of the peak value parameters and the sub-peak value parameters in the frequency.

[0065] The adjustment index is obtained by analyzing the frequency information of the peak value parameters and the sub-peak value parameters, which can reflect the relative position relationship of these parameters in the frequency, so as to more accurately estimate the interference frequency.

[0066] As an optional embodiment, multiple interference frequency parameters corresponding to the target signal are determined based on the adjustment indexes corresponding to the multiple peak parameters, and the method also includes: determining multiple initial interference parameters based on the adjustment indexes corresponding to the multiple peak parameters; determining first deviation indices corresponding to the multiple peak parameters based on the frequency parameters corresponding to the multiple peak parameters and the multiple initial interference parameters, wherein the corresponding first deviation index represents the degree of deviation between the frequency parameter corresponding to the corresponding peak parameter and the corresponding initial interference parameter; and determining multiple interference frequency parameters based on the multiple initial interference parameters and the first deviation index.

[0067] In this embodiment, specific steps of determining a plurality of interference frequency parameters corresponding to a target signal according to adjustment indices corresponding to a plurality of peak parameters are described.

[0068] Optionally, determining multiple initial interference parameters based on adjustment indices corresponding to the multiple peak parameters respectively includes determining multiple initial interference parameters based on frequency resolution, frequency parameters corresponding to the multiple peak parameters respectively, and adjustment indices.

[0069] Among them, multiple initial interference parameters are involved. These initial interference parameters are a set of interference frequency parameters obtained by preliminary calculation based on the frequency parameters corresponding to the frequency resolution and peak parameters and the adjustment index during the process of determining the interference frequency parameters. These initial interference parameters are preliminary estimates based on the peak parameters and the adjustment index.

[0070] The first deviation index is used to quantify the difference between the initial interference parameter and the actual interference frequency. This allows for correction of the initial interference parameter to obtain a more accurate interference frequency parameter.

[0071] After determining the initial interference parameters based on the frequency resolution, the frequency parameters corresponding to the peak parameters, and the adjustment index, the first deviation index is further determined to quantify the difference between the initial interference parameters and the actual interference frequency, and finally the interference frequency parameters are determined based on the initial interference parameters and the first deviation index, which can further accurately identify and locate the interference components in the target signal.

[0072] As an optional embodiment, the method for determining the denoised signal corresponding to the cable joint from the target signal according to the plurality of interference frequency parameters comprises: determining a guide signal according to the plurality of interference frequency parameters; determining a mixed signal corresponding to the cable joint from the target signal and the guide signal; determining a guide signal characteristic parameter corresponding to the guide signal and a mixed signal characteristic parameter corresponding to the mixed signal; and determining the denoised signal corresponding to the cable joint from the target signal according to the mixed signal, the guide signal characteristic parameter and the mixed signal characteristic parameter.

[0073] In this embodiment, the specific steps for determining the denoised signal corresponding to the cable joint from the target signal according to the plurality of interference frequency parameters are illustrated.

[0074] The guide signal is an interference signal determined according to the plurality of interference frequency parameters.

[0075] The mixed signal is a signal obtained by mixing the target signal and the guide signal.

[0076] The guide signal characteristic parameter is a parameter for describing the characteristics of the guide signal.

[0077] The mixed signal characteristic parameter is a parameter for describing the characteristics of the mixed signal.

[0078] The guide signal is constructed based on the interference frequency parameters, and the mixed signal is the superposition of the target signal and the guide signal. By constructing the mixed signal, the characteristics of the guide signal can be used to enhance the recognizability of the interference components in the target signal, so that the interference signal can be effectively separated in the denoising process to obtain the denoised signal of the cable joint partial discharge characteristics.

[0079] As an optional embodiment, the method for determining the mixed signal characteristic corresponding to the mixed signal comprises: determining a fluctuation range parameter corresponding to a mixed signal parameter sequence of the mixed signal, wherein the mixed signal parameter sequence comprises a plurality of signal parameters; decomposing the mixed signal parameter sequence according to the plurality of signal parameters and the fluctuation range parameter to obtain a plurality of decomposition parameter sequences corresponding to the mixed signal, wherein the plurality of decomposition parameter sequences respectively represent the signal parameter sequence under different fluctuation ranges; determining a decomposition signal characteristic parameter corresponding to each of the plurality of decomposition parameter sequences; and determining the mixed signal characteristic corresponding to the mixed signal according to the decomposition signal characteristic parameters corresponding to the plurality of decomposition parameter sequences.

[0080] In this embodiment, the specific steps for determining the mixed signal characteristic corresponding to the mixed signal are illustrated.

[0081] The fluctuation range parameter is a fluctuation range of the signal parameters in the mixed signal parameter sequence, which helps to identify the main fluctuation characteristics in the signal.

[0082] The plurality of decomposition parameter sequences are a plurality of subsequences obtained by decomposing the mixed signal parameter sequence according to the fluctuation range parameter. Each decomposition parameter sequence represents a signal parameter sequence in a specific fluctuation range, and these subsequences can more finely reflect different characteristic components of the signal.

[0083] The decomposition signal characteristic parameter is a characteristic parameter of each decomposition parameter sequence, which is used to describe the characteristics of the decomposition parameter sequence.

[0084] By determining the fluctuation range parameter of the mixed signal parameter sequence and decomposing it accordingly, a plurality of decomposition parameter sequences are obtained, which can more finely analyze different characteristic components of the mixed signal. Further determining the decomposition signal characteristic parameter of each decomposition parameter sequence helps to more accurately represent the characteristics of the mixed signal. Determining the mixed signal characteristics according to these decomposition signal characteristic parameters can provide more accurate information for subsequent signal processing, thereby more effectively identifying and separating the interference components in the target signal and improving the accuracy and reliability of signal denoising.

[0085] As an optional embodiment, according to the plurality of signal parameters, a plurality of target interference fluctuation segments corresponding to the target signal are determined, comprising: determining a mean signal parameter corresponding to the plurality of signal parameters and a total number of parameters; determining an interference screening index corresponding to the target signal according to the mean signal parameter and the total number of parameters; and determining a plurality of target interference fluctuation segments corresponding to the target signal according to the plurality of signal parameters and the interference screening index.

[0086] In this embodiment, the specific steps of determining a plurality of target interference fluctuation segments corresponding to the target signal according to the plurality of signal parameters are described.

[0087] The mean signal parameter is the average of the plurality of signal parameters, which is used to represent the average level of the signal parameters and reflects the average characteristics of the signal as a whole.

[0088] The total number of parameters is the total number of the plurality of signal parameters, which is used to represent the scale of the signal parameters.

[0089] The interference screening index is an index obtained from the mean signal parameter and the total number of parameters, which is used to screen the target interference fluctuation segment.

[0090] The mean signal parameter and the total number of parameters provide a quantitative description of the overall characteristics of the signal. Through the interference screening index, it can be preliminarily judged which parts of the target signal may contain interference components, so as to accurately determine the multiple target interference fluctuation segments.

[0091] As an optional embodiment, determining the multiple target interference fluctuation segments corresponding to the target signal according to the multiple signal parameters comprises: determining the multiple initial interference fluctuation segments corresponding to the target signal according to the multiple signal parameters; determining the second deviation index corresponding to the multiple initial interference fluctuation segments; determining the multiple target interference fluctuation segments corresponding to the target signal according to the second deviation index corresponding to the multiple initial interference fluctuation segments.

[0092] In this embodiment, the specific steps of determining the multiple target interference fluctuation segments corresponding to the target signal according to the multiple signal parameters are described.

[0093] Among them, the multiple initial interference fluctuation segments are signal segments that may contain interference components and are preliminarily determined according to the multiple signal parameters.

[0094] Among them, the second deviation index is a deviation degree index corresponding to each initial interference fluctuation segment, which is used to quantify the difference between the initial interference fluctuation segment and the actual interference fluctuation segment.

[0095] By determining the initial interference fluctuation segment according to the multiple signal parameters and calculating the second deviation index of each initial interference fluctuation segment to quantify the difference between the initial interference fluctuation segment and the actual interference fluctuation segment, the target interference fluctuation segment is determined according to the second deviation index. The signal segment actually containing interference components can be more accurately identified from the target signal, the accuracy of interference identification is improved, and a more reliable basis is provided for subsequent signal denoising and partial discharge detection, thereby improving the accuracy and reliability of the cable joint partial discharge detection.

[0096] Based on the above embodiments and optional embodiments, an optional implementation is provided, which is described in detail as follows.

[0097] In the related art, discharge detection needs to be performed on the cable joint to realize early fault diagnosis and early warning of the cable joint. However, in a complex environment, the discharge signal of the cable joint will be disturbed by noise. In the related art, when the discharge detection is performed on the cable joint, there is a technical problem that the discharge signal denoising effect of the cable joint is poor, which leads to inaccurate discharge detection of the cable joint.

[0098] In view of the above problems, no effective solution has been proposed so far.

[0099] In view of this, the cable joint discharge signal denoising method provided in the optional embodiment of the present application can also be called a method which can effectively solve the technical problem of poor cable joint discharge signal denoising effect in the related art, resulting in inaccurate cable joint discharge detection.

[0100] Figure 2 is a flowchart of the cable joint discharge signal denoising method in the optional embodiment of the present application; Figure 3 is a circuit diagram for detecting a partial discharge signal at a cable joint in the optional embodiment of the present application; Figure 4 is a partial discharge signal simulated by software in the optional embodiment of the present application; Figure 5 is a noisy signal obtained by adding noise in the optional embodiment of the present application; Figure 6 is a partial discharge signal after denoising in the optional embodiment of the present application, as shown in Figure 1 , Figure 3 , Figure 4 , Figure 5 and Figure 6 , which will be described in detail below.

[0101] S1: obtaining a target signal corresponding to a cable joint;

[0102] detecting a time-domain partial discharge signal at the cable joint (the same as the target signal described above) by a high-frequency current sensor, and the reference direction of the high-frequency current sensor points to the center of the monitored cable.

[0103] S2: determining a plurality of signal parameters corresponding to the target signal, and determining a plurality of target interference fluctuation segments corresponding to the target signal according to the plurality of signal parameters.

[0104] S21: determining a plurality of signal parameters corresponding to the target signal;

[0105] performing fast Fourier transform (FFT) on the obtained partial discharge time-domain signal to obtain a frequency spectrum (the same as the plurality of signal parameters corresponding to the target signal), determining a mean signal parameter and a total number of parameters corresponding to the plurality of signal parameters, respectively, determining an interference screening index corresponding to the target signal according to the mean signal parameter and the total number of parameters, and determining a plurality of target interference fluctuation segments corresponding to the target signal according to the plurality of signal parameters and the interference screening index.

[0106] According to the classical threshold method, the threshold T (the same as the interference screening index described above) is calculated to preliminarily determine the number m of periodic narrowband interferences in the signal In .

[0107] The expression of the threshold T is as follows:

[0108]

[0109] wherein:

[0110] N is the number of sampling data points (same as the number of parameters above);

[0111] γ is an adjustment factor for adjusting the sensitivity of the signal processing algorithm;

[0112] σ F is the standard deviation of the signal (same as the mean signal parameter above).

[0113] In order to ensure that the corresponding frequency peaks and narrow-band interference of the partial discharge (PD) signal can be obtained at the same time, γ is usually taken as 0.1-0.5. According to the great difference in the amplitude of the narrow-band interference herein, γ is taken as 0.4.

[0114] According to the calculated threshold, the number m In of the periodic narrow-band interference in the signal (i.e., the number of the plurality of initial interference fluctuation segments) is preliminarily determined, and then the plurality of target interference fluctuation segments is obtained.

[0115] S22: determining, according to the plurality of signal parameters, the plurality of initial interference fluctuation segments corresponding to the target signal; determining the second deviation index corresponding to the plurality of initial interference fluctuation segments, respectively; and determining, according to the second deviation index corresponding to the plurality of initial interference fluctuation segments, respectively, the plurality of target interference fluctuation segments corresponding to the target signal.

[0116] For example, in order to accurately obtain the number of the frequency of the narrow-band interference, the skewness (same as the second deviation index above) of each peak frequency is calculated. If the skewness of the peak point is less than 0, it can be determined that the peak point corresponds to the center frequency of the narrow-band interference, and thus the number m Ta of the frequency of the narrow-band interference (i.e., the number of the plurality of target interference fluctuation segments) is determined.

[0117] S3: determining the peak parameter corresponding to the plurality of target interference fluctuation segments, respectively, and determining the sub-peak parameter corresponding to the plurality of peak parameters, respectively, wherein the corresponding peak parameter is the maximum parameter in the plurality of amplitude parameters corresponding to the corresponding target interference fluctuation segment; determining the plurality of interference frequency parameters according to the frequency parameter corresponding to the plurality of peak parameters, respectively, and the frequency parameter of the sub-peak parameter corresponding to the plurality of peak parameters, respectively, wherein the plurality of interference frequency parameters correspond to the plurality of peak parameters one by one; and de-noising the target signal according to the plurality of interference frequency parameters to determine the de-noised signal corresponding to the cable joint.

[0118] S31: Obtain the sequence number k (same as the peak value parameter) corresponding to the narrowband interference frequency peak spectrum line (same as the frequency parameter) and the sequence number k+r (same as the sub-peak value parameter) of the sub-amplitude spectrum line, and obtain the amplitudes (same as the amplitude parameter) corresponding to the spectrum lines: R(k) and R(k+r) (same as the plurality of initial interference parameters).

[0119] S32: According to the frequency resolution, the frequency parameters corresponding to the plurality of peak value parameters and the adjustment index, determine the plurality of initial interference parameters.

[0120] Calculate the correction value σ S As follows:

[0121]

[0122] Wherein:

[0123] σ S is the correction value (same as the adjustment index);

[0124] R(k+r) is the amplitude of the spectrum line corresponding to the sequence number k+r;

[0125] R(k) is the amplitude of the spectrum line corresponding to the sequence number k.

[0126] S33: Obtain the estimated frequency f r of the narrowband interference.

[0127] f r The calculation formula is as follows:

[0128]

[0129] Wherein:

[0130] f r is the estimated frequency of the narrowband interference;

[0131] f s is the sampling frequency;

[0132] N s is the number of sampling points.

[0133] S34: According to the frequency parameters corresponding to the plurality of peak value parameters, and the plurality of initial interference parameters, determine the first deviation index corresponding to the plurality of peak value parameters; according to the plurality of initial interference parameters, and the first deviation index, determine the plurality of interference frequency parameters.

[0134] According to the estimated frequency f r , the frequency shift of the spectrum line in k and k+r is given by the following formula f d(As the first deviation index above), the peak values R(k)' and R(k+r)' of the frequency-shifted spectral line in k and k+r are obtained (As the plurality of interference frequency parameters above).

[0135]

[0136] S35: S32 and S33 are performed again to obtain the accurate frequency estimation of the narrowband interference signal (As the plurality of interference frequency parameters above).

[0137] wherein the iteration termination condition is the frequency shift distance f d is less than a predetermined frequency shift distance.

[0138] S4: According to the plurality of interference frequency parameters, a guide signal is determined; according to the target signal and the guide signal, a mixed signal corresponding to the cable joint is determined; a guide signal feature parameter corresponding to the guide signal is determined, and a mixed signal feature parameter corresponding to the mixed signal is determined; according to the mixed signal, the guide signal feature parameter, and the mixed signal feature parameter, the target signal is denoised to determine a denoised signal corresponding to the cable joint.

[0139] S41: According to the number m of narrowband interference frequencies obtained Ta and the accurate frequency estimation of the narrowband interference (As the plurality of interference frequency parameters above), a guide signal is constructed.

[0140] The expression of the guide signal g(t) is as follows:

[0141]

[0142] wherein:

[0143] y max represents the maximum amplitude of the noise signal;

[0144] f i ' represents the estimated frequency of the i-th narrowband interference obtained by the improved Rife method;

[0145] t represents a time variable, which is used to represent the value of the signal at different time points.

[0146] S42: The guide signal g(t) is added to the noisy PD signal (As the target signal above) to obtain a mixed signal m(t), and m(t) is constructed in a Hankel matrix for SVD decomposition.

[0147] The SVD decomposition of m(t) constructed in the Hankel matrix includes:

[0148] determining a fluctuation range parameter corresponding to a mixed signal parameter sequence corresponding to the mixed signal, wherein the mixed signal parameter sequence comprises a plurality of signal parameters; decomposing the mixed signal parameter sequence according to the plurality of signal parameters and the fluctuation range parameter to obtain a plurality of decomposed parameter sequences corresponding to the mixed signal, wherein the plurality of decomposed parameter sequences respectively represent signal parameter sequences under different fluctuation ranges; determining decomposed signal feature parameters corresponding to the plurality of decomposed parameter sequences; and determining a mixed signal feature corresponding to the mixed signal according to the decomposed signal feature parameters corresponding to the plurality of decomposed parameter sequences.

[0149] S43: According to the mixed signal, the signal feature parameter, and the mixed signal feature parameter, the target signal is denoised to determine a denoised signal corresponding to the cable joint.

[0150] The first 2m singular values are set to 0, and then the narrow-band interference suppressed PD signal (the same as the above denoised signal) can be obtained by reconstructing the signal.

[0151] Through the above optional implementation, at least the following beneficial effects can be achieved:

[0152] (1) Compared with the related art, the present application preliminarily determines a plurality of target interference fluctuation segments according to a plurality of signal parameters of the target signal, and further determines peak value parameters and sub-peak value parameters corresponding to the plurality of target interference fluctuation segments for analyzing the specific position of the interference signal, and then determines corresponding interference frequency parameters according to the frequency parameters corresponding to the peak value parameters and the frequency parameters of the sub-peak value parameters, so as to realize accurate denoising of the target signal, thereby solving the technical problem of poor denoising effect of the cable joint discharge signal, which leads to inaccurate detection of the cable joint discharge.

[0153] (2) Compared with the related art, the present application constructs the mixed signal based on the interference frequency parameters, and the mixed signal is the superposition of the target signal and the guide signal. By constructing the mixed signal, the characteristics of the guide signal can be used to enhance the recognizability of the interference component in the target signal, so that the interference signal can be effectively separated in the denoising process to obtain the denoised signal of the cable joint partial discharge feature.

[0154] (3) Compared with the related art, the present application fuses the improved Rife high-resolution frequency estimation algorithm with the singular value decomposition technique, and the improved Rife algorithm can lock the narrow-band interference frequency with very high precision for the narrow-band interference in the cable joint partial discharge signal, and can accurately distinguish the target signal from the interference even in a complex signal environment. At the same time, the algorithm has low complexity, high calculation efficiency, is suitable for real-time processing, has strong robustness, and good adaptability to noise and signal dynamic changes.

[0155] (4) Compared with the related art, the present application realizes effective filtering of singular values corresponding to small-amplitude narrowband interference by adding a guide signal, overcomes the shortcoming of the traditional SVD that it is difficult to suppress small-amplitude narrowband interference, and along with the decrease of the amplitude of narrowband interference.

[0156] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited to the action sequence described, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily necessary for the present application.

[0157] Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be realized by means of software and the necessary general hardware platform, and of course it can also be realized by hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product in essence or in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium (such as a ROM / RAM, a magnetic disk, an optical disk), and includes a plurality of instructions for causing a terminal device (which can be a mobile phone, a computer, a server, or a network device) to execute the method of each embodiment of the present application.

[0158] Embodiment 2

[0159] According to the embodiments of the present application, a device for implementing the cable joint discharge signal denoising method is also provided, Figure 7 is a structural block diagram of the cable joint discharge signal denoising device according to the embodiments of the present application, as Figure 7 shown, the device includes an acquisition module 702, a first determination module 704, a second determination module 706, a third determination module 708, a fourth determination module 710 and a fifth determination module 712, and the device will be described in detail below.

[0160] The acquisition module 702 is used to acquire the target signal corresponding to the cable connector; the first determination module 704 is connected to the acquisition module 702 and is used to determine a plurality of signal parameters corresponding to the target signal, wherein the plurality of signal parameters respectively include a frequency parameter and an amplitude parameter corresponding to the frequency parameter; the second determination module 706 is connected to the first determination module 704 and is used to determine a plurality of target interference fluctuation segments corresponding to the target signal based on the plurality of signal parameters; the third determination module 708 is connected to the second determination module 706 and is used to determine the peak parameters corresponding to the plurality of target interference fluctuation segments, and determine the peak values ​​corresponding to the plurality of peak values. The parameters correspond to the sub-peak parameters respectively, wherein the corresponding peak parameter is the maximum parameter among the multiple amplitude parameters corresponding to the corresponding target interference fluctuation segment; the fourth determination module 710 is connected to the above-mentioned third determination module 708, and is used to determine the multiple interference frequency parameters according to the frequency parameters respectively corresponding to the multiple peak parameters, and the frequency parameters of the sub-peak parameters respectively corresponding to the multiple peak parameters, wherein the multiple interference frequency parameters correspond one to one to the multiple peak parameters; the fifth determination module 712 is connected to the above-mentioned fourth determination module 710, and is used to denoise the target signal according to the multiple interference frequency parameters, and determine the denoised signal corresponding to the cable connector.

[0161] It should be noted here that the above-mentioned acquisition module 702, the first determination module 704, the second determination module 706, the third determination module 708, the fourth determination module 710 and the fifth determination module 712 correspond to steps S102 to S112 in the cable connector discharge signal denoising method. The examples and application scenarios implemented by the multiple modules and the corresponding steps are the same, but are not limited to the contents disclosed in the above-mentioned embodiment 1.

[0162] Example 3

[0163] According to another aspect of an embodiment of the present invention, an electronic device is provided, comprising: a processor; and a memory for storing processor-executable instructions, wherein the processor is configured to execute the instructions to implement any of the above-mentioned cable joint discharge signal denoising methods.

[0164] Example 4

[0165] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided. When instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device can execute any of the above-mentioned cable connector discharge signal denoising methods.

[0166] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0167] In the above-mentioned embodiments of the present application, the description of each embodiment is focused on, and the part not described in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0168] In several embodiments provided in the present application, it should be understood that the disclosed technical contents can be implemented by other ways. Among them, the above-mentioned device embodiments are only schematic, for example, the division of the units can be a logical function division, and in actual implementation, there can be another division way, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units or modules shown or discussed can be indirect coupling or communication connection through some interfaces, and can be electrical or other forms.

[0169] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed to a plurality of units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0170] In addition, each functional unit in each embodiment of the present application can be integrated in a processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0171] The integrated unit, if realized in the form of a software functional unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part of the prior art that contributes or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes: a U disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various media that can store program codes.

[0172] The above-mentioned is only the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should be regarded as the protection scope of the present application.

Claims

1. A method for denoising a cable joint discharge signal, characterized in that: include: Acquire the target signal corresponding to the cable connector; Determining a plurality of signal parameters corresponding to the target signal, wherein the plurality of signal parameters respectively include a frequency parameter and an amplitude parameter corresponding to the frequency parameter; determining, based on the plurality of signal parameters, a plurality of target interference fluctuation segments corresponding to the target signal; Determining peak parameters corresponding to the multiple target interference fluctuation segments, and determining sub-peak parameters corresponding to the multiple peak parameters, wherein the corresponding peak parameter is the maximum parameter among the multiple amplitude parameters corresponding to the corresponding target interference fluctuation segment; Determining a plurality of interference frequency parameters according to the frequency parameters corresponding to the plurality of peak parameters and the frequency parameters of the sub-peak parameters corresponding to the plurality of peak parameters, wherein the plurality of interference frequency parameters correspond to the plurality of peak parameters in a one-to-one manner; The target signal is denoised according to the multiple interference frequency parameters to determine a denoised signal corresponding to the cable connector.

2. The method according to claim 1, characterized in that The determining of a plurality of interference frequency parameters according to the frequency parameters respectively corresponding to the plurality of peak parameters and the frequency parameters of the sub-peak parameters respectively corresponding to the plurality of peak parameters includes: Determining adjustment indexes corresponding to the multiple peak parameters respectively according to the frequency parameters corresponding to the multiple peak parameters and the frequency parameters of the sub-peak parameters corresponding to the multiple peak parameters respectively; A plurality of interference frequency parameters corresponding to the target signal are determined according to the adjustment indexes respectively corresponding to the plurality of peak parameters.

3. The method according to claim 2, characterized in that The determining of a plurality of interference frequency parameters corresponding to the target signal according to the adjustment indexes respectively corresponding to the plurality of peak parameters further includes: determining a plurality of initial interference parameters according to the adjustment indexes respectively corresponding to the plurality of peak parameters; Determining, based on the frequency parameters corresponding to the multiple peak parameters and the multiple initial interference parameters, first deviation indexes corresponding to the multiple peak parameters, respectively, wherein the corresponding first deviation index represents a degree of deviation between the frequency parameter corresponding to the corresponding peak parameter and the corresponding initial interference parameter; A plurality of interference frequency parameters are determined according to the plurality of initial interference parameters and the first deviation index.

4. The method according to claim 1, wherein Denoising the target signal based on the multiple interference frequency parameters to determine the denoised signal corresponding to the cable connector includes: determining a pilot signal according to the plurality of interference frequency parameters; determining a mixed signal corresponding to the cable connector based on the target signal and the guide signal; determining a pilot signal characteristic parameter corresponding to the pilot signal, and determining a mixed signal characteristic parameter corresponding to the mixed signal; The target signal is denoised based on the mixed signal, the guide signal characteristic parameter, and the mixed signal characteristic parameter to determine a denoised signal corresponding to the cable connector.

5. The method according to claim 4, characterized in that The determining of a mixed signal feature corresponding to the mixed signal includes: determining a fluctuation range parameter corresponding to a mixed signal parameter sequence corresponding to the mixed signal, wherein the mixed signal parameter sequence includes a plurality of signal parameters; Decomposing the mixed signal parameter sequence according to the multiple signal parameters and the fluctuation range parameter to obtain multiple decomposition parameter sequences corresponding to the mixed signal, wherein the multiple decomposition parameter sequences respectively represent signal parameter sequences under different fluctuation ranges; Determining decomposition signal characteristic parameters corresponding to the multiple decomposition parameter sequences respectively; A mixed signal feature corresponding to the mixed signal is determined according to the decomposition signal feature parameters respectively corresponding to the multiple decomposition parameter sequences.

6. The method according to claim 1, characterized in that The determining, based on the multiple signal parameters, multiple target interference fluctuation segments corresponding to the target signal includes: Determining mean signal parameters and a total number of parameters corresponding to the plurality of signal parameters respectively; Determining an interference screening index corresponding to the target signal based on the mean signal parameter and the total number of parameters; A plurality of target interference fluctuation segments corresponding to the target signal are determined according to the plurality of signal parameters and the interference screening index.

7. The method according to any one of claims 1 to 6, characterized in that The determining, based on the multiple signal parameters, multiple target interference fluctuation segments corresponding to the target signal includes: determining, based on the plurality of signal parameters, a plurality of initial interference fluctuation segments corresponding to the target signal; Determine second deviation indices respectively corresponding to the multiple initial interference fluctuation segments; and determine multiple target interference fluctuation segments corresponding to the target signal based on the second deviation indices respectively corresponding to the multiple initial interference fluctuation segments.

8. A cable connector discharge signal denoising device, characterized in that: include: An acquisition module, used for acquiring a target signal corresponding to the cable connector; a first determining module, configured to determine a plurality of signal parameters corresponding to the target signal, wherein the plurality of signal parameters respectively include a frequency parameter and an amplitude parameter corresponding to the frequency parameter; A second determining module is configured to determine a plurality of target interference fluctuation segments corresponding to the target signal based on the plurality of signal parameters; a third determining module, configured to determine peak parameters corresponding to the plurality of target interference fluctuation segments, and determine sub-peak parameters corresponding to the plurality of peak parameters, wherein the corresponding peak parameter is a maximum parameter among the plurality of amplitude parameters corresponding to the corresponding target interference fluctuation segment; a fourth determining module, configured to determine a plurality of interference frequency parameters based on the frequency parameters corresponding to the plurality of peak parameters and the frequency parameters of the sub-peak parameters corresponding to the plurality of peak parameters, wherein the plurality of interference frequency parameters correspond to the plurality of peak parameters in a one-to-one manner; A fifth determination module is configured to denoise the target signal based on the multiple interference frequency parameters and determine a denoised signal corresponding to the cable connector.

9. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the cable joint discharge signal denoising method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that When the instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the cable joint discharge signal denoising method according to any one of claims 1 to 7.

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