Partial discharge pulse separation method based on gas-filled switchgear bushing sensor

Abstract

The present invention provides a method for separating partial discharge pulses based on a gas-filled switch cabinet bushing sensor, which can be applied to the technical field of partial discharge detection of power equipment. The method comprises: obtaining a partial discharge pulse; mapping the partial discharge pulse on a time-frequency plane to obtain a plurality of pulse points; performing density peak clustering based on the plurality of pulse points to obtain at least one pulse cluster; and mapping the at least one pulse cluster on a partial discharge phase-resolved spectrum to obtain at least one separated partial discharge signal.

Description

Technical Field

[0001] The present invention relates to the technical field of partial discharge detection of electric power equipment, and more specifically to a partial discharge pulse separation method based on a gas-filled switch cabinet bushing sensor. Background Art

[0002] As the overall capacity of the power grid continues to increase, gas-filled switchgear is widely used in the field of power supply and distribution due to its advantages such as long maintenance cycle, large capacity and small size. However, as the number of gas-filled switchgear put into operation continues to increase, the number of its faults is also increasing. Partial discharge is the main manifestation of insulation degradation. Therefore, it is necessary to conduct effective partial discharge detection and diagnosis of gas-filled switchgear in order to carry out targeted maintenance.

[0003] There is usually noise in the actual detection site, and there are also multiple partial discharge activities inside the gas-filled switch cabinet itself. Therefore, the clusters of the collected pulse mapping on the time-frequency plane will overlap, which is not conducive to the effective separation of pulses by the traditional clustering algorithm based on Euclidean distance. However, most of the current separation algorithms are improved by introducing more characteristic parameters, which not only increases the complexity of the pulse separation algorithm, but also makes the separation results dependent on the selection of specific parameters, which is not conducive to the rapid implementation of partial discharge detection in actual sites. Summary of the invention

[0004] In view of this, the present invention provides a partial discharge pulse separation method based on a gas-filled switch cabinet bushing sensor.

[0005] One aspect of the present invention provides a method for separating local discharge pulses based on a gas-filled switch cabinet bushing sensor, comprising: obtaining a local discharge pulse; mapping the local discharge pulse on a time-frequency plane to obtain a plurality of pulse points; performing density peak clustering based on the plurality of pulse points to obtain at least one pulse cluster; and mapping the at least one pulse cluster respectively on a local discharge phase-resolved spectrum to obtain at least one separated local discharge signal.

[0006] According to an embodiment of the present invention, density peak clustering is performed based on the above-mentioned multiple pulse points to obtain at least one pulse cluster, including: determining the distance between every two pulse points in the above-mentioned multiple pulse points; based on the distance and adjacency coefficient between every two pulse points in the above-mentioned multiple pulse points, density peak clustering is performed on the above-mentioned multiple pulse points to obtain the above-mentioned at least one pulse cluster.

[0007] According to an embodiment of the present invention, the above-mentioned determination of the distance between every two pulse points in the above-mentioned multiple pulse points includes: performing a cross-correlation operation between every two pulse points in the above-mentioned multiple pulse points to obtain the similarity between every two pulse points in the above-mentioned multiple pulse points; based on the similarity between every two pulse points in the above-mentioned multiple pulse points, determining the distance between every two pulse points in the above-mentioned multiple pulse points.

[0008] According to an embodiment of the present invention, the above-mentioned determining the distance between every two pulse points in the above-mentioned multiple pulse points based on the similarity between every two pulse points in the above-mentioned multiple pulse points includes: performing absolute value operation on the similarity between every two pulse points in the above-mentioned multiple pulse points to obtain the target similarity between every two pulse points in the above-mentioned multiple pulse points; determining the distance between every two pulse points in the above-mentioned multiple pulse points based on the target similarity between every two pulse points in the above-mentioned multiple pulse points.

[0009] According to an embodiment of the present invention, the above-mentioned density peak clustering is performed on the above-mentioned multiple pulse points based on the distance between every two pulse points in the above-mentioned multiple pulse points and the adjacency coefficient to obtain the above-mentioned at least one pulse cluster, including: determining a neighborhood distance threshold based on the above-mentioned adjacency coefficient; determining the local density and center offset distance of each of the above-mentioned multiple pulse points based on the distance between every two pulse points in the above-mentioned multiple pulse points and the above-mentioned neighborhood distance threshold; determining at least one cluster center point based on the local density and center offset distance of each of the above-mentioned multiple pulse points; based on the above-mentioned at least one cluster center point, clustering the above-mentioned multiple pulse points to obtain the above-mentioned at least one pulse cluster.

[0010] According to an embodiment of the present invention, the above-mentioned determining at least one cluster center point based on the local density and the center offset distance of each of the above-mentioned multiple pulse points includes: obtaining a decision value of each of the above-mentioned multiple pulse points based on the local density and the center offset distance of each of the above-mentioned multiple pulse points; determining at least one target pulse point from the above-mentioned multiple pulse points based on a comparison result between the decision value of each of the above-mentioned multiple pulse points and a preset threshold; and determining the above-mentioned at least one target pulse point as the above-mentioned at least one cluster center point.

[0011] Another aspect of the present invention provides a local discharge pulse separation device based on a gas-filled switch cabinet bushing sensor, comprising: an acquisition module, used to acquire local discharge pulses, wherein the local discharge pulses are acquired by coupling the bushing sensor from the energized indication interface of the gas-filled switch cabinet; a mapping module, used to map the local discharge pulses on a time-frequency plane to obtain a plurality of pulse points; a clustering module, used to perform density peak clustering based on the plurality of pulse points to obtain at least one pulse cluster; a determination module, used to map the at least one pulse cluster respectively on a local discharge phase-resolved spectrum to obtain at least one separated local discharge signal.

[0012] Another aspect of the present invention provides an electronic device, comprising: one or more processors; a memory for storing one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the above method.

[0013] Another aspect of the present invention provides a computer-readable storage medium having a computer program or instruction stored thereon, wherein the computer program or instruction implements the steps of the above method when executed by a processor.

[0014] Another aspect of the present invention provides a computer program product, comprising a computer program or instructions, which implement the steps of the above method when executed by a processor.

[0015] According to an embodiment of the present invention, local discharge pulses inside the gas-filled switchgear are collected by means of a bushing sensor, and the one-dimensional time domain signal of the local discharge pulse is converted into a two-dimensional time-frequency plane, so that multiple pulse points are clustered based on the distribution of the pulse points at different times and frequencies, so as to achieve effective separation of local discharge signals with different phase characteristics, which is conducive to rapid and effective local discharge detection of the gas-filled switchgear. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The above and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

[0017] Figure 1 An exemplary system architecture to which a method and apparatus for separating partial discharge pulses based on a gas-filled switch cabinet bushing sensor can be applied according to an embodiment of the present invention is shown.

[0018] Figure 2 A flow chart of a partial discharge pulse separation method based on a gas-filled switch cabinet bushing sensor according to an embodiment of the present invention is shown.

[0019] Figure 3 A schematic diagram showing the mapping of a partial discharge pulse on a time-frequency plane according to a specific embodiment of the present invention is shown.

[0020] Figure 4 A schematic diagram showing descending order arrangement of decision values ​​according to a specific embodiment of the present invention is shown.

[0021] Figure 5 A schematic diagram showing a pulse separation result according to a specific embodiment of the present invention is shown.

[0022] Figure 6 A schematic diagram of a partial discharge signal of a corona discharge pulse cluster after separation according to a specific embodiment of the present invention is shown.

[0023] Figure 7 A schematic diagram of a partial discharge signal of an internal discharge pulse cluster after separation according to a specific embodiment of the present invention is shown.

[0024] Figure 8 A schematic diagram of mapping a corona discharge pulse cluster on a partial discharge phase-resolved spectrum according to a specific embodiment of the present invention is shown.

[0025] Fig. 9 A schematic diagram of mapping an internal discharge pulse cluster on a partial discharge phase-resolved spectrum according to a specific embodiment of the present invention is shown.

[0026] Fig.10 A block diagram of a partial discharge pulse separation device based on a gas-filled switch cabinet bushing sensor according to an embodiment of the present invention is shown.

[0027] Fig.11 A block diagram of an electronic device suitable for implementing a partial discharge pulse separation method based on a gas-filled switch cabinet bushing sensor according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0028] Below, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of concepts of the present invention.

[0029] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0030] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0031] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0032] With the rapid development of cities, the overall capacity of the power grid continues to increase. Gas-filled switchgear is widely used in the field of power supply and distribution due to its advantages such as long maintenance cycle, large capacity and small size. The metal shell of the gas-filled switchgear integrates busbars, disconnectors, circuit breakers, transformers and power cables, and is filled with sulfur hexafluoride gas as an insulating medium. It is mainly responsible for the opening and closing of normal distribution lines and the removal of short-circuit faults. However, with the increasing number of gas-filled switchgears put into operation, the number of its faults is also increasing. Statistics show that most faults are directly or indirectly related to insulation defects in the switchgear. In the long-term closed operation of the gas-filled switchgear, it is affected by electrical, mechanical, thermal stress and contamination, and its internal insulation will deteriorate. Partial discharge is the main manifestation of insulation degradation. Therefore, it is necessary to carry out effective partial discharge detection and diagnosis of the gas-filled switchgear in order to carry out targeted maintenance.

[0033] The bushing sensor is essentially a voltage-dividing capacitor inside the gas-filled switch cabinet to indicate whether there is voltage inside the cabinet. For gas-filled switch cabinets with multi-layer metal shielding structures, partial discharge pulses can be obtained by coupling with the live indication interface connected to the bushing sensor. However, in the actual detection site, there is usually noise, and at the same time, there are multiple partial discharge activities inside the gas-filled switch cabinet itself. Therefore, the clusters of the collected pulse mapping on the time-frequency plane will overlap, which is not conducive to the effective separation of pulses by the traditional clustering algorithm based on Euclidean distance. At present, most separation algorithms are improved by introducing more feature parameters, which will not only increase the complexity of the pulse separation algorithm, but also make the separation results dependent on the selection of specific parameters, which is not conducive to the rapid implementation of partial discharge detection in actual sites.

[0034] In view of this, the local discharge pulses inside the gas-filled switchgear are collected by bushing sensors, and the one-dimensional time domain signals of the local discharge pulses are converted into a two-dimensional time-frequency plane. Multiple pulse points are clustered based on their distribution at different times and frequencies, so as to achieve effective separation of local discharge signals with different phase characteristics, which is conducive to rapid and effective local discharge detection of the gas-filled switchgear.

[0035] Specifically, an embodiment of the present invention provides a method and device for separating partial discharge pulses based on a gas-filled switch cabinet bushing sensor. The method includes obtaining a partial discharge pulse; mapping the partial discharge pulse on a time-frequency plane to obtain a plurality of pulse points; performing density peak clustering based on the plurality of pulse points to obtain at least one pulse cluster; and mapping the at least one pulse cluster on a partial discharge phase-resolved spectrum to obtain at least one separated partial discharge signal.

[0036] It should be noted that the partial discharge pulse separation method and device based on the gas-filled switch cabinet bushing sensor determined in the embodiment of the present invention can be used in the field of partial discharge detection technology for power equipment. The partial discharge pulse separation method and device based on the gas-filled switch cabinet bushing sensor determined in the embodiment of the present invention can also be used in any field other than the field of partial discharge detection technology for power equipment, such as the field of live detection and operation and maintenance technology. The application field of the partial discharge pulse separation method and device based on the gas-filled switch cabinet bushing sensor determined in the embodiment of the present invention is not limited.

[0037] In the embodiments of the present invention, the collection, updating, analysis, processing, use, transmission, provision, invention, storage and other aspects of the data involved (for example, including but not limited to user personal information) are in compliance with the provisions of relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures are taken for user personal information to prevent illegal access to user personal information data and maintain the security of user personal information and network security.

[0038] Figure 1 The exemplary system architecture of the partial discharge pulse separation method and device based on the gas-filled switch cabinet bushing sensor according to the embodiment of the present invention is shown. It should be noted that: Figure 1 The examples shown are merely examples of system architectures to which the embodiments of the present invention may be applied, to help those skilled in the art understand the technical content of the present invention, but do not mean that the embodiments of the present invention may not be used in other devices, systems, environments or scenarios.

[0039] like Figure 1 As shown, the system architecture according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 is used to provide a medium for a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or optical fiber cables, etc.

[0040] The first terminal device 101 , the second terminal device 102 , and the third terminal device 103 may interact with the server 105 via the network 104 to send the collected electrical signals to the server, etc.

[0041] The first terminal device 101, the second terminal device 102, and the third terminal device 103 can be various electronic devices that sense and collect information signals such as physical quantities and chemical quantities, and convert these information into digital signals for processing and transmission, including but not limited to wireless sensors, programmable logic controllers, data collectors, etc.

[0042] It should be noted that the partial discharge pulse separation method based on the gas-filled switch cabinet bushing sensor provided in the embodiment of the present invention can generally be executed by the server 105. Accordingly, the partial discharge pulse separation device based on the gas-filled switch cabinet bushing sensor provided in the embodiment of the present invention can generally be set in the server 105. The partial discharge pulse separation method based on the gas-filled switch cabinet bushing sensor provided in the embodiment of the present invention can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Accordingly, the partial discharge pulse separation device based on the gas-filled switch cabinet bushing sensor provided in the embodiment of the present invention can also be set in a server or server cluster that is different from the server 105 and can communicate with the terminal devices 101, 102, 103 and / or the server 105. Alternatively, the partial discharge pulse separation method based on the gas-filled switch cabinet bushing sensor provided in the embodiment of the present invention may also be executed by the first terminal device 101, the second terminal device 102, and the third terminal device 103, or may also be executed by other terminal devices different from the terminal devices 101, 102, or 103. Accordingly, the partial discharge pulse separation device based on the gas-filled switch cabinet bushing sensor provided in the embodiment of the present invention may also be provided in the first terminal device 101, the second terminal device 102, and the third terminal device 103, or may be provided in other terminal devices different from the first terminal device 101, the second terminal device 102, and the third terminal device 103.

[0043] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to the implementation requirements.

[0044] Figure 2 A flow chart of a partial discharge pulse separation method based on a gas-filled switch cabinet bushing sensor according to an embodiment of the present invention is shown.

[0045] like Figure 2 As shown, the method includes operations S201 to S204.

[0046] In operation S201 , a partial discharge pulse is acquired.

[0047] According to an embodiment of the present invention, a partial discharge pulse refers to an electrical signal generated in a partial discharge phenomenon. Partial discharge refers to discharge that occurs only in a local area of ​​an insulator without penetrating between conductors to which a voltage is applied.

[0048] According to an embodiment of the present invention, a partial discharge pulse can be coupled and obtained from the live indication interface of the gas-filled switch cabinet through a bushing sensor. The bushing sensor can characterize the capacitive voltage divider inside the bushing in the gas-filled switch cabinet, and is used to indicate whether there is voltage in the cabinet. The gas-filled switch cabinet can adopt a multi-layer metal shielding structure to improve the electromagnetic shielding effect of the cabinet body and reduce the impact of electromagnetic interference and radio frequency interference on equipment performance.

[0049] According to an embodiment of the present invention, when partial discharge occurs inside the gas-filled switch cabinet, a high-frequency pulse voltage signal will be generated on the busbar near the discharge. These high-frequency pulse signals can be sensed and captured by the bushing sensor, and the captured high-frequency pulse signals are coupled and transmitted to the monitoring system through the live indication interface for analysis and evaluation.

[0050] In operation S202, the local discharge pulse is mapped on a time-frequency plane to obtain a plurality of pulse points.

[0051] According to an embodiment of the present invention, by performing time-frequency analysis on a partial discharge pulse signal, the partial discharge pulse signal can be converted from the time domain to the time-frequency domain to obtain the distribution of the partial discharge pulse on the time-frequency plane. The time-frequency analysis method includes Fourier transform, continuous wavelet transform, generalized Laplace transform, etc. The time-frequency analysis method is not specifically limited in the embodiment of the present invention.

[0052] According to an embodiment of the present invention, a local discharge pulse is mapped on a time-frequency plane to obtain multiple pulse points. On the time-frequency plane, each pulse point can represent a discharge event. Based on the characteristics of the position, size, shape, etc. of these pulse points, information such as discharge time, frequency, and discharge intensity can be obtained.

[0053] In operation S203 , density peak clustering is performed based on the plurality of pulse points to obtain at least one pulse cluster.

[0054] According to an embodiment of the present invention, a pulse cluster may be used to characterize a special signal form formed by a plurality of pulse points being closely clustered together within a period of time.

[0055] According to an embodiment of the present invention, the density peak clustering method is a density-based spatial clustering algorithm, which uses the density peak clustering method to cluster multiple pulse points to identify at least one pulse cluster of arbitrary shape and at least one noise point, wherein the noise point can be used to characterize points that do not belong to any pulse cluster.

[0056] In operation S204, at least one pulse cluster is mapped onto a partial discharge phase-resolved spectrum to obtain at least one separated partial discharge signal.

[0057] According to an embodiment of the present invention, a partial discharge phase resolved pattern (PRPD) is a visual representation method for describing partial discharge activities. In the phase resolved pattern, the horizontal axis can represent the phase angle or the phase of the voltage or current, and the vertical axis can represent some characteristic parameters of the discharge event, such as the discharge amplitude, the number of discharges, the number of pulses, etc.

[0058] According to an embodiment of the present invention, at least one pulse cluster is mapped onto a partial discharge phase-resolved spectrum, and based on the phase information of each pulse cluster, a phase-resolved spectrum representing the discharge activity changing with the phase can be constructed.

[0059] According to an embodiment of the present invention, for each pulse cluster, its corresponding phase information can be extracted. The phase information can be determined based on the relative position of the measured pulse signal and the voltage or current waveform.

[0060] According to an embodiment of the present invention, on a phase-resolved spectrum, pulse clusters from different discharge sources can be separated by setting a threshold or using a clustering algorithm to obtain at least one separated pulse cluster, wherein each separated pulse cluster can represent an independent local discharge signal.

[0061] The embodiment of the present invention collects local discharge pulses inside the gas-filled switch cabinet through a bushing sensor, converts the one-dimensional time domain signal of the local discharge pulse into a two-dimensional time-frequency plane, and clusters multiple pulse points based on the distribution of the pulse points at different times and frequencies, so as to achieve effective separation of local discharge signals with different phase characteristics, which is conducive to quickly and effectively carrying out local discharge detection on the gas-filled switch cabinet.

[0062] According to an embodiment of the present invention, the partial discharge pulse separation method based on the gas-filled switch cabinet bushing sensor further includes: constructing a time-frequency plane based on the equivalent duration and equivalent bandwidth of the partial discharge pulse.

[0063] According to an embodiment of the present invention, the equivalent duration of a partial discharge pulse can be used to represent the time range occupied by a partial discharge pulse signal in the time domain, or to represent the distribution of the main energy of a partial discharge pulse on the time axis. The equivalent duration describes the width and duration of a partial discharge pulse signal in time.

[0064] According to a specific embodiment of the present invention, the time centroid can be used to find the time range in which the amplitude of the pulse signal exceeds a preset threshold value to estimate the equivalent duration. The time centroid is used to characterize the center point of the energy distribution of the pulse signal.

[0065] Specifically, the amplitude of the original time-domain pulse discrete sequence acquired can be normalized, and the equivalent duration can be calculated based on the time center of gravity. The calculation method of the equivalent duration is as follows:

[0066] (1);

[0067] (2);

[0068] (3);

[0069] In the formula, T represents the equivalent time, s(t i ) represents the original discrete pulse sequence in the time domain, N represents the length of the discrete pulse sequence, Represents the original time domain pulse discrete sequence s(t i ) is the amplitude normalized form, t0 represents The time center of gravity, t i Represents the time characteristics of the i-th original time domain pulse.

[0070] According to an embodiment of the present invention, the equivalent bandwidth of a partial discharge pulse can be used to represent the frequency range occupied by a partial discharge pulse signal in the frequency domain, or to represent the distribution of the main energy of a partial discharge pulse signal on the frequency axis. The equivalent bandwidth describes the width and distribution of a partial discharge pulse signal in frequency.

[0071] According to a specific embodiment of the present invention, the equivalent bandwidth of the partial discharge pulse can be determined by calculating the frequency spectrum of the pulse signal and using the frequency range containing the main energy.

[0072] Specifically, the frequency spectrum of the pulse signal can be calculated using fast Fourier transform. The equivalent pulse width is calculated based on the frequency corresponding to the maximum amplitude among the calculated frequencies. The calculation method of the equivalent pulse width is as follows:

[0073] (4);

[0074] (5);

[0075] Where F is the equivalent bandwidth, express The fast Fourier transform, f i represents the frequency characteristics of the i-th original time domain pulse, and FFT represents the fast Fourier transform function.

[0076] According to an embodiment of the present invention, by calculating the equivalent duration and equivalent bandwidth to construct a two-dimensional time-frequency plane, pulse signals of different shapes will show different characteristics on the time-frequency plane. For example, a pulse signal with a narrow time width and a wide frequency bandwidth may appear as a widely distributed area on the time-frequency plane, while a pulse signal with a wide time width and a narrow frequency bandwidth may appear as a relatively concentrated area.

[0077] Figure 3 A schematic diagram showing the mapping of a partial discharge pulse on a time-frequency plane according to a specific embodiment of the present invention is shown.

[0078] like Figure 3 As shown, the abscissa of the time-frequency plane of this specific embodiment is expressed as frequency domain, in megahertz, and the ordinate is time domain, in nanoseconds. The collected multiple local discharge point pulses are mapped on the time-frequency plane to form a pulse cluster.

[0079] According to an embodiment of the present invention, density peak clustering is performed based on multiple pulse points to obtain at least one pulse cluster, including: determining the distance between every two pulse points in the multiple pulse points; based on the distance and adjacency coefficient between every two pulse points in the multiple pulse points, density peak clustering is performed on the multiple pulse points to obtain at least one pulse cluster.

[0080] According to an embodiment of the present invention, based on the position of each pulse point on the time-frequency plane, a distance measurement method can be used to determine the distance between each two pulse points. The position of each pulse point on the time-frequency plane can be determined based on the two-dimensional coordinates of the pulse point. The distance measurement method may include Euclidean distance, Mahalanobis distance, etc.

[0081] According to an embodiment of the present invention, an adjacency coefficient may be determined based on the distance distribution between each two pulse points. The adjacency coefficient may be used to determine which pulse points are adjacent, and the adjacency coefficient may be determined based on an actual application scenario. For example, a statistic such as the mean of the distance distribution may be used as the adjacency coefficient.

[0082] According to an embodiment of the present invention, based on the distance and adjacency coefficient between every two pulse points in a plurality of pulse points, a density peak clustering algorithm is used to identify a cluster center, and other pulse points are assigned to the nearest cluster center, so as to implement density peak clustering of the plurality of pulse points, thereby obtaining one or more pulse clusters. Each pulse cluster may represent a group of pulse points with similar characteristics.

[0083] The embodiment of the present invention clusters multiple pulse points based on the distance and adjacency coefficient between every two pulse points in the multiple pulse points, and groups the multiple pulse point data according to the distance relationship by utilizing the density peak clustering algorithm to form at least one pulse cluster, so as to simplify the subsequent partial discharge pulse separation process and improve the pulse separation efficiency.

[0084] According to an embodiment of the present invention, determining the distance between every two pulse points in a plurality of pulse points includes: performing a cross-correlation operation between every two pulse points in a plurality of pulse points to obtain a similarity between every two pulse points in a plurality of pulse points; and determining the distance between every two pulse points in a plurality of pulse points based on the similarity between every two pulse points in a plurality of pulse points.

[0085] According to an embodiment of the present invention, the cross-correlation operation is a method for measuring the similarity between two time series. Therefore, the similarity between the two pulses can be obtained by performing a cross-correlation operation between every two pulse points in a plurality of pulse points to consider all possible lags or offsets between the two pulses.

[0086] According to an embodiment of the present invention, the cross-correlation operation between any two pulses after amplitude normalization is performed is performed as follows.

[0087] (6);

[0088] Among them, r xy (k) represents the result of cross-correlation operation, represents the normalized form of the amplitude of the pulse point x, represents the normalized form of the amplitude of the pulse point y, N represents the length of the discrete pulse sequence, n represents the pulse point number, and k represents the time shift parameter.

[0089] According to a specific embodiment of the present invention, the cross-correlation operation result calculated in formula (6) can be expressed as the similarity between the two pulses after amplitude normalization. When the similarity is equal to 1, it can be indicated that the two pulses completely overlap; when the similarity is equal to -1, it can be indicated that the two pulses are completely symmetrical.

[0090] According to an embodiment of the present invention, based on the similarity between two pulses after amplitude normalization, a distance measurement method is used to determine the distance between every two pulse points in the multiple pulse points, so as to quantify the difference between every two pulse points in the multiple pulse points.

[0091] According to an embodiment of the present invention, based on the similarity between every two pulse points in the multiple pulse points, the distance between every two pulse points in the multiple pulse points is determined, including: performing absolute value operation on the similarity between every two pulse points in the multiple pulse points to obtain the target similarity between every two pulse points in the multiple pulse points; based on the target similarity between every two pulse points in the multiple pulse points, determining the distance between every two pulse points in the multiple pulse points.

[0092] According to an embodiment of the present invention, considering the situation that pulses belonging to the same local discharge activity have opposite polarities, an absolute value operation can be performed on the similarity between every two pulse points in the multiple pulse points to convert the similarity into a distance between every two pulse points in the multiple pulse points.

[0093] According to an embodiment of the present invention, the target similarity can be used to characterize the result of the cross-correlation operation, that is, the maximum value of the similarity between every two pulse points in the multiple pulse points, and is used to represent the best overlap between any two pulses. The distance between every two pulse points in the multiple pulse points can be determined according to the target similarity between every two pulse points in the multiple pulse points. Specifically, the distance between every two pulse points in the multiple pulse points is calculated as follows:

[0094] (7);

[0095] Where, d xy Represents the distance between pulse point x and pulse point y.

[0096] According to an embodiment of the present invention, the distance between two pulse points can be redefined using formula (7), so that the more similar the two pulses are, the smaller the distance between the two pulses is.

[0097] The embodiment of the present invention performs a cross-correlation operation between every two pulse points in a plurality of pulse points, performs an absolute value operation on the obtained similarity between every two pulse points in a plurality of pulse points, and selects the maximum value to reconstruct the distance between every two pulse points in a plurality of pulse points, thereby quantifying the similarity between two pulse points into a specific distance value, so as to numerically compare the similarity differences between different pulse pairs. At the same time, based on the distance between every two pulse points in the plurality of pulse points reconstructed, the reliability and effectiveness of subsequent pulse point identification and clustering are improved.

[0098] According to an embodiment of the present invention, based on the distance between every two pulse points in the multiple pulse points and the adjacency coefficient, multiple pulse points are clustered by density peak value to obtain at least one pulse cluster, including: determining a neighborhood distance threshold based on the adjacency coefficient; determining the local density and center offset distance of each of the multiple pulse points based on the distance between every two pulse points in the multiple pulse points and the neighborhood distance threshold; determining at least one cluster center point based on the local density and center offset distance of each of the multiple pulse points; and clustering the multiple pulse points based on the at least one cluster center point to obtain at least one pulse cluster.

[0099] According to an embodiment of the present invention, a neighborhood distance threshold may be used to define the neighborhood size of multiple pulse points, wherein the neighborhood distance threshold may be determined based on an adjacency coefficient, for example, the maximum distance at which one pulse point is a neighbor of another pulse point may be used as the neighborhood distance threshold.

[0100] According to an embodiment of the present invention, the local density of any pulse point can be used to characterize the number of its neighboring pulse points, that is, the number of pulse points whose distance from the pulse point is less than the neighborhood distance threshold. Therefore, the local density of any pulse point can be determined based on the distance between other pulse points and the pulse point and the neighborhood distance threshold.

[0101] According to an embodiment of the present invention, the center offset distance of any pulse point can be used to characterize the distance to the pulse point with higher density than the pulse point. For the pulse point with the highest density, its center offset distance can be set to a maximum value, for example, it can be defined as an integer multiple of the maximum distance. Therefore, the center offset distance of any pulse point can be determined based on the distances between other pulse points and the pulse point and the densities of the multiple pulse points.

[0102] According to an embodiment of the present invention, the cluster center can be used to characterize an impulse point with high local density and large center offset distance. Therefore, at least one cluster center point can be determined based on the local density and center offset distance of each of the multiple impulse points.

[0103] According to an embodiment of the present invention, for pulse points that are not cluster centers, the distance between each pulse point and the cluster center can be calculated so that it can be assigned to the pulse cluster to which the nearest cluster center belongs, thereby obtaining one or more pulse clusters, each cluster containing a group of similar pulse points.

[0104] According to an embodiment of the present invention, at least one cluster center point is determined based on the local density and center offset distance of each of the multiple pulse points, including: obtaining decision values ​​of each of the multiple pulse points based on the local density and center offset distance of each of the multiple pulse points; determining at least one target pulse point from the multiple pulse points based on a comparison result between the decision values ​​of each of the multiple pulse points and a preset threshold; and determining the at least one target pulse point as at least one cluster center point.

[0105] According to an embodiment of the present invention, based on the local density and center offset distance of each of the multiple pulse points, the decision value of each of the multiple pulse points can be obtained by calculation. Specifically, the local density and center offset distance of each of the multiple pulse points can be multiplied to obtain the decision value. Before the multiplication operation, the local density and center offset distance of each of the multiple pulse points can also be normalized to construct the decision value of each of the multiple pulse points. In a specific embodiment of the present invention, the method for calculating the decision value is as follows:

[0106] (8);

[0107] In the formula, γ x represents the decision value of the pulse point x, represents the normalized form of the local density of the impulse point x, Represents the normalized form of the pulse point x center offset distance.

[0108] According to an embodiment of the present invention, the larger the decision value, the greater the probability that the pulse point becomes the cluster center. Therefore, by comparing the decision values ​​of the plurality of pulse points with the preset threshold, at least one target pulse point can be determined from the plurality of pulse points based on the comparison result. The preset threshold can be adaptively set based on the local density and the center offset distance of the plurality of pulse points.

[0109] According to a specific embodiment of the present invention, the decision values ​​of the plurality of pulse points may be arranged in descending order so that the pulse points with larger decision values ​​can be selected preferentially. When the preset threshold is set to 0.01, the pulse points with decision values ​​greater than 0.01 can be used as cluster centers.

[0110] According to an embodiment of the present invention, after determining at least one cluster center, a clustering algorithm can be used to assign multiple pulse points to the nearest cluster center based on the position, time and other characteristics of each of the multiple pulse points, thereby achieving separation of the multiple pulse points on the time-frequency plane.

[0111] Reference below Figure 4~Figure 9 , the pulse separation results obtained by the partial discharge pulse separation method based on the gas-filled switch cabinet bushing sensor are further explained in combination with a specific embodiment.

[0112] Figure 4 A schematic diagram showing descending order arrangement of decision values ​​according to a specific embodiment of the present invention is shown.

[0113] like Figure 4 As shown, Figure 4 The horizontal axis represents the pulse point number, and the vertical axis represents the decision value. The preset threshold is set to 0.01, and the decision values ​​of multiple pulse points are arranged in descending order to obtain the two pulse points with decision values ​​greater than 0.01, which are located in the upper left part of the figure. These two pulse points can be used as cluster centers.

[0114] Figure 5 A schematic diagram showing a pulse separation result according to a specific embodiment of the present invention is shown.

[0115] like Figure 5 As shown, Figure 5 The horizontal axis represents the frequency domain, and the vertical axis represents the time domain; area A represents the corona discharge pulse cluster on the time-frequency plane; area B represents the internal discharge pulse cluster.

[0116] Figure 6 A schematic diagram of a partial discharge signal of a corona discharge pulse cluster after separation according to a specific embodiment of the present invention is shown.

[0117] like Figure 6 As shown, Figure 6 The horizontal axis represents time in microseconds, and the vertical axis represents amplitude in millivolts. Within 0-1 milliseconds, the amplitude of the local discharge signal of the separated corona discharge pulse cluster changes greatly.

[0118] Figure 7 A schematic diagram of a partial discharge signal of an internal discharge pulse cluster after separation according to a specific embodiment of the present invention is shown.

[0119] like Figure 7 As shown, Figure 7 The horizontal axis represents time in microseconds, and the vertical axis represents amplitude in millivolts. Within 0-1 milliseconds, the amplitude of the local discharge signal of the internal discharge pulse cluster after separation varies greatly.

[0120] Figure 8 A schematic diagram of mapping a corona discharge pulse cluster on a partial discharge phase-resolved spectrum according to a specific embodiment of the present invention is shown.

[0121] like Figure 8 As shown, Figure 8 The horizontal axis represents the phase in degrees, and the vertical axis represents the amplitude in millivolts. The mapping of the corona discharge pulse cluster on the partial discharge phase-resolved spectrum is located near the phase of 270°.

[0122] Fig. 9A schematic diagram of mapping an internal discharge pulse cluster on a partial discharge phase-resolved spectrum according to a specific embodiment of the present invention is shown.

[0123] like Fig. 9 As shown, Fig. 9 The horizontal axis represents the phase in degrees, and the vertical axis represents the amplitude in millivolts. The mapping of the internal discharge pulse cluster on the partial discharge phase resolution spectrum is located near the phases of 0°~90° and 180°~270°.

[0124] An embodiment of the present invention is based on the distance between each two pulse points in the redefined multiple pulse points to improve the density peak clustering algorithm. The algorithm does not need to rely on the multi-dimensional characteristic parameters of the pulse. By determining the local density and center offset distance of each of the multiple pulse points, the pulse points with high local density and large center offset distance are determined as cluster center points, and the multiple pulse points are assigned to the cluster center closest to them, thereby achieving effective separation of overlapping pulse clusters in the time-frequency plane, which is conducive to rapid and effective local discharge detection of gas-filled switch cabinets.

[0125] It should be noted that, unless it is explicitly stated that there is a sequence of execution between different operations shown in the flowchart in the embodiments of the present invention, or different operations have a sequence of execution in technical implementation, otherwise, the execution order of multiple operations may not be particular, and multiple operations may also be executed simultaneously.

[0126] Fig.10 A block diagram of a partial discharge pulse separation device based on a gas-filled switch cabinet bushing sensor according to an embodiment of the present invention is shown.

[0127] like Fig.10 As shown, the partial discharge pulse separation device based on the gas-filled switch cabinet bushing sensor includes an acquisition module 1010 , a mapping module 1020 , a clustering module 1030 , and a determination module 1040 .

[0128] The acquisition module 1010 is used to acquire partial discharge pulses.

[0129] The mapping module 1020 is used to map the partial discharge pulse on the time-frequency plane to obtain multiple pulse points.

[0130] The clustering module 1030 is used to perform density peak clustering based on multiple pulse points to obtain at least one pulse cluster.

[0131] The determination module 1040 is used to map at least one pulse cluster onto a partial discharge phase-resolved spectrum to obtain at least one separated partial discharge signal.

[0132] According to the embodiment of the present invention, the clustering module 1030 includes a first determination submodule and a first clustering submodule.

[0133] The first determination submodule is used to determine the distance between every two pulse points among the multiple pulse points.

[0134] The first clustering submodule is used to perform density peak clustering on the multiple pulse points based on the distance and the adjacency coefficient between every two pulse points in the multiple pulse points to obtain at least one pulse cluster.

[0135] According to an embodiment of the present invention, the first determining submodule includes a first determining unit and a second determining unit.

[0136] The first determining unit is used to perform a cross-correlation operation between every two pulse points among the multiple pulse points to obtain a similarity between every two pulse points among the multiple pulse points.

[0137] The second determining unit is configured to determine the distance between every two pulse points in the plurality of pulse points based on the similarity between every two pulse points in the plurality of pulse points.

[0138] According to an embodiment of the present invention, the second determining unit includes a first determining subunit and a second determining subunit.

[0139] The first determination subunit is used to perform an absolute value operation on the similarity between every two pulse points in the multiple pulse points to obtain a target similarity between every two pulse points in the multiple pulse points.

[0140] The second determining subunit is used to determine the distance between every two pulse points in the multiple pulse points based on the target similarity between every two pulse points in the multiple pulse points.

[0141] According to an embodiment of the present invention, the clustering submodule includes a third determining unit, a fourth determining unit, a fifth determining unit, and a clustering unit.

[0142] The third determining unit is used to determine a neighborhood distance threshold based on the adjacency coefficient.

[0143] The fourth determining unit is used to determine the local density and the center offset distance of each of the multiple pulse points based on the distance between every two pulse points in the multiple pulse points and the neighborhood distance threshold.

[0144] The fifth determining unit is used to determine at least one cluster center point based on the local density and center offset distance of each of the multiple pulse points.

[0145] The clustering unit is used to perform clustering processing on multiple pulse points based on at least one cluster center point to obtain at least one pulse cluster.

[0146] According to an embodiment of the present invention, the fifth determining unit includes a third determining subunit, a fourth determining subunit, and a fifth determining subunit.

[0147] The third determination subunit is used to obtain the decision values ​​of the multiple pulse points based on the local density and the center offset distance of the multiple pulse points.

[0148] The fourth determining subunit is used to determine at least one target pulse point from the multiple pulse points based on the comparison result between the decision values ​​of the multiple pulse points and the preset threshold.

[0149] The fifth determining subunit is configured to determine at least one target pulse point as at least one cluster center point.

[0150] According to an embodiment of the present invention, the partial discharge pulse separation device based on the gas-filled switch cabinet bushing sensor further includes a building module.

[0151] The building module is used to build a time-frequency plane based on the equivalent duration and equivalent bandwidth of the partial discharge pulse.

[0152] According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits, or at least part of the functions of any one of them can be implemented in one module. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be split into multiple modules for implementation. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be at least partially implemented as hardware circuits, such as field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), systems on chips, systems on substrates, systems on packages, application specific integrated circuits (ASICs), or can be implemented by hardware or firmware in any other reasonable way of integrating or packaging the circuit, or by any one of the three implementation methods of software, hardware, and firmware, or by a proper combination of any of them. Alternatively, according to the embodiments of the present invention, one or more of the modules, submodules, units, and subunits can be at least partially implemented as computer program modules, and when the computer program modules are run, the corresponding functions can be executed.

[0153] For example, any multiple of the acquisition module 1010, the mapping module 1020, the clustering module 1030, and the determination module 1040 can be combined in one module / unit / sub-unit for implementation, or any one of the modules / units / sub-units can be split into multiple modules / units / sub-units. Alternatively, at least part of the functions of one or more of these modules / units / sub-units can be combined with at least part of the functions of other modules / units / sub-units and implemented in one module / unit / sub-unit. According to an embodiment of the present invention, at least one of the acquisition module 1010, the mapping module 1020, the clustering module 1030, and the determination module 1040 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware, and firmware or in a suitable combination of any of them. Alternatively, at least one of the acquisition module 1010 , the mapping module 1020 , the clustering module 1030 , and the determination module 1040 may be at least partially implemented as a computer program module, and when the computer program module is executed, a corresponding function may be performed.

[0154] It should be noted that the local discharge pulse separation device part based on the gas-filled switch cabinet bushing sensor in the embodiment of the present invention corresponds to the local discharge pulse separation method part based on the gas-filled switch cabinet bushing sensor in the embodiment of the present invention. The description of the local discharge pulse separation device part based on the gas-filled switch cabinet bushing sensor specifically refers to the local discharge pulse separation method part based on the gas-filled switch cabinet bushing sensor, which will not be repeated here.

[0155] Fig.11 A block diagram of an electronic device suitable for implementing a partial discharge pulse separation method based on a gas-filled switch cabinet bushing sensor according to an embodiment of the present invention is shown. Fig.11 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0156] like Fig.11As shown, the computer electronic device according to an embodiment of the present invention includes a processor 1101, which can perform various appropriate actions and processes according to the program stored in the read-only memory ROM 1102 or the program loaded from the storage part 1108 to the random access memory RAM 1103. The processor 1101 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 1101 may also include an on-board memory for caching purposes. The processor 1101 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0157] In RAM 1103, various programs and data required for the operation of the electronic device are stored. Processor 1101, ROM 1102 and RAM 1103 are connected to each other via bus 1104. Processor 1101 performs various operations of the method flow according to the embodiment of the present invention by executing the program in ROM 1102 and / or RAM 1103. It should be noted that the program can also be stored in one or more memories other than ROM 1102 and RAM 1103. Processor 1101 can also perform various operations of the method flow according to the embodiment of the present invention by executing the program stored in the one or more memories.

[0158] According to an embodiment of the present invention, the electronic device may further include an input / output (I / O) interface 1105, which is also connected to the bus 1104. The electronic device may further include one or more of the following components connected to the input / output (I / O) interface 1105: an input portion 1106 including a keyboard, a mouse, etc.; an output portion 1107 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 1108 including a hard disk, etc.; and a communication portion 1109 including a network interface card such as a LAN card, a modem, etc. The communication portion 1109 performs communication processing via a network such as the Internet. A drive 1110 is also connected to the input / output (I / O) interface 1105 as needed. A removable medium 1111, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 1110 as needed, so that a computer program read therefrom is installed into the storage portion 1108 as needed.

[0159] According to an embodiment of the present invention, the method flow according to an embodiment of the present invention can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 1109, and / or installed from the removable medium 1111. When the computer program is executed by the processor 1101, the above-mentioned functions defined in the system of the embodiment of the present invention are executed. According to an embodiment of the present invention, the system, equipment, device, module, unit, etc. described above can be implemented by a computer program module.

[0160] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiment; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present invention is implemented.

[0161] According to an embodiment of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium. For example, it may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device.

[0162] For example, according to an embodiment of the present invention, the computer-readable storage medium may include the ROM 1102 and / or the RAM 1103 described above and / or one or more memories other than the ROM 1102 and the RAM 1103 .

[0163] An embodiment of the present invention also includes a computer program product, which includes a computer program, which contains program code for executing the method provided by the embodiment of the present invention. When the computer program product runs on an electronic device, the program code is used to enable the electronic device to implement the local discharge pulse separation method based on the gas-filled switch cabinet bushing sensor provided by the embodiment of the present invention.

[0164] When the computer program is executed by the processor 1101, the above functions defined in the system / device of the embodiment of the present invention are executed. According to the embodiment of the present invention, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0165] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 1109, and / or installed from a removable medium 1111. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0166] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment of the present invention can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., using an Internet service provider to connect through the Internet).

[0167] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions. It can be understood by those skilled in the art that the features recorded in the various embodiments of the present invention can be combined and / or combined in various ways, even if such a combination or combination is not explicitly recorded in the present invention. In particular, without departing from the spirit and teachings of the present invention, the features recorded in the various embodiments of the present invention can be combined and / or combined in various ways. All these combinations and / or combinations fall within the scope of the present invention.

[0168] The embodiments of the present invention are described above. However, these embodiments are only for the purpose of illustration, and are not intended to limit the scope of the present invention. Although each embodiment is described above, it does not mean that the measures in each embodiment cannot be used in combination advantageously. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A method for separating partial discharge pulses based on a gas-filled switch cabinet bushing sensor, characterized in that: include: Acquiring a partial discharge pulse, wherein the partial discharge pulse is obtained by coupling a bushing sensor from a live indication interface of a gas-filled switch cabinet; Mapping the local discharge pulse on a time-frequency plane to obtain a plurality of pulse points; Perform density peak clustering based on the multiple pulse points to obtain at least one pulse cluster; Mapping the at least one pulse cluster onto a partial discharge phase-resolved spectrum to obtain at least one separated partial discharge signal; The step of performing density peak clustering based on the plurality of pulse points to obtain at least one pulse cluster includes: determining a distance between every two pulse points in the plurality of pulse points; Based on the distance and adjacency coefficient between every two pulse points in the multiple pulse points, performing density peak clustering on the multiple pulse points to obtain the at least one pulse cluster, wherein the adjacency coefficient is determined based on the distance distribution between every two pulse points, and the adjacency coefficient is the mean value of the distance distribution; The step of performing density peak clustering on the plurality of pulse points based on the distance and the adjacency coefficient between every two pulse points in the plurality of pulse points to obtain the at least one pulse cluster includes: Based on the adjacency coefficient, determining a neighborhood distance threshold, wherein the neighborhood distance threshold is a maximum distance at which one pulse point is a neighbor of another pulse point; Determine, based on the distance between every two pulse points in the plurality of pulse points and the neighborhood distance threshold, a local density and a center offset distance of each of the plurality of pulse points, wherein the local density is used to characterize the number of neighborhood pulse points, and the center offset distance is used to characterize, for each pulse point in the plurality of pulse points, a distance to a pulse point with a higher density than the pulse point; Determine at least one cluster center point based on the local density and center offset distance of each of the plurality of pulse points; Based on the at least one cluster center point, clustering the multiple pulse points to obtain the at least one pulse cluster; The step of determining at least one cluster center point based on the local density and center offset distance of each of the plurality of pulse points comprises: Obtaining decision values ​​of the plurality of pulse points based on the local density and the center offset distance of the plurality of pulse points; Determining at least one target pulse point from the plurality of pulse points based on a comparison result between the decision values ​​of the plurality of pulse points and a preset threshold; The at least one target pulse point is determined as the at least one cluster center point.

2. The method according to claim 1, characterized in that The determining the distance between every two pulse points in the plurality of pulse points comprises: Performing a cross-correlation operation between every two pulse points in the plurality of pulse points to obtain a similarity between every two pulse points in the plurality of pulse points; Based on the similarity between every two pulse points in the plurality of pulse points, a distance between every two pulse points in the plurality of pulse points is determined.

3. The method according to claim 2, characterized in that The determining the distance between each of the plurality of pulse points based on the similarity between every two pulse points in the plurality of pulse points comprises: Performing an absolute value operation on the similarity between every two pulse points in the plurality of pulse points to obtain a target similarity between every two pulse points in the plurality of pulse points; Based on the target similarity between every two pulse points in the plurality of pulse points, a distance between every two pulse points in the plurality of pulse points is determined.

4. The method according to claim 1, characterized in that: Also includes: The time-frequency plane is constructed based on the equivalent duration and equivalent bandwidth of the local discharge pulse.

5. A partial discharge pulse separation device based on a gas-filled switch cabinet bushing sensor, characterized in that: include: An acquisition module, used for acquiring a partial discharge pulse, wherein the partial discharge pulse is acquired by coupling a bushing sensor from a live indication interface of a gas-filled switch cabinet; A mapping module, used for mapping the local discharge pulse on a time-frequency plane to obtain a plurality of pulse points; A clustering module, used for performing density peak clustering based on the multiple pulse points to obtain at least one pulse cluster; A determination module, used for mapping the at least one pulse cluster respectively on a partial discharge phase resolution spectrum to obtain at least one separated partial discharge signal; Wherein, the clustering module includes a first determination submodule and a first clustering submodule; A first determination submodule, configured to determine the distance between every two pulse points among the plurality of pulse points; A first clustering submodule, configured to perform density peak clustering on the plurality of pulse points based on the distance and adjacency coefficient between every two pulse points in the plurality of pulse points to obtain the at least one pulse cluster, wherein the adjacency coefficient is determined based on the distance distribution between every two pulse points, and the adjacency coefficient is the mean value of the distance distribution; Wherein, the first clustering submodule includes: a third determination unit, a fourth determination unit, a fifth determination unit and a clustering unit; The third determining unit is used to determine a neighborhood distance threshold based on the adjacency coefficient, wherein the neighborhood distance threshold is a maximum distance at which one pulse point is a neighbor of another pulse point; The fourth determining unit is used to determine the local density and the center offset distance of each of the plurality of pulse points based on the distance between every two pulse points in the plurality of pulse points and the neighborhood distance threshold, wherein the local density is used to characterize the number of neighborhood pulse points, and the center offset distance is used to characterize the distance to a pulse point with a higher density than the pulse point for each pulse point in the plurality of pulse points; The fifth determining unit is used to determine at least one cluster center point based on the local density and center offset distance of each of the multiple pulse points; The clustering unit is used to perform clustering processing on the multiple pulse points based on the at least one cluster center point to obtain the at least one pulse cluster; Wherein, the fifth determining unit includes a third determining subunit, a fourth determining subunit and a fifth determining subunit; The third determining subunit is used to obtain the decision value of each of the multiple pulse points based on the local density and the center offset distance of each of the multiple pulse points; The fourth determining subunit is used to determine at least one target pulse point from the plurality of pulse points based on a comparison result between the respective decision values ​​of the plurality of pulse points and a preset threshold value; The fifth determining subunit is configured to determine the at least one target pulse point as the at least one cluster center point.

6. An electronic device, characterized in that: include: one or more processors; a memory for storing one or more computer programs, The one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: When the computer program or instruction is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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