Partial discharge periodic pulse interference mask library construction method and identification method

Abstract

The application provides a partial discharge periodic pulse interference mask library construction method and a recognition method. The partial discharge periodic pulse interference mask library construction method comprises the following steps: acquiring a plurality of pulse signals; performing time domain correlation analysis on each pulse signal to obtain a plurality of pulse clustering clusters; sorting the phases of the pulse signals in each pulse clustering cluster to obtain a phase sequence of each pulse clustering cluster; obtaining a phase difference sequence of each pulse clustering cluster according to the phase sequence of each pulse clustering cluster; determining the number of phase difference interval corresponding to each phase difference sequence according to the interval to which the phase difference in each phase difference sequence belongs; determining a periodic pulse interference signal clustering cluster according to the number of phase difference interval corresponding to each phase difference sequence; and constructing a periodic pulse interference mask library according to the periodic pulse interference signal clustering cluster. Through the application, periodic pulse interference signals are recognized, and the acquisition data of a partial discharge online monitoring device is reduced.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of power, and in particular to a method for constructing and identifying a partial discharge periodic pulse interference mask library. Background Technology

[0002] Partial discharge is a significant indicator of insulation degradation in high-voltage electrical equipment such as gas-insulated composite equipment, transformers, and capacitors during long-term operation. If persistent partial discharge occurs in the insulation structure of electrical equipment during operation, the dielectric properties of the insulation will be severely damaged, potentially leading to serious accidents if left undetected and unaddressed for an extended period.

[0003] In renewable energy power plants, the integration of large-capacity energy storage devices, reactive power compensation devices, and wind and solar power equipment results in a significantly higher number of power electronic devices compared to ordinary substations. The periodic pulse interference signals transmitted to the power grid by the switching actions of these power electronic devices become a crucial source of interference in the online monitoring of partial discharge in renewable energy power plants. Therefore, identifying the periodic pulse interference within the partial discharge pulse signals is of paramount importance. Summary of the Invention

[0004] To identify periodic interference signals in partial discharge pulse signals and reduce the data collected by online partial discharge monitoring devices, this invention proposes a method for constructing a partial discharge periodic pulse interference mask library and an identification method.

[0005] In a first aspect, the present invention provides a method for constructing a library of periodic pulse interference masks for partial discharge, the method comprising:

[0006] Acquire multiple pulse signals;

[0007] Time-domain correlation analysis was performed on each pulse signal, and multiple pulse clusters were obtained according to preset rules;

[0008] The phases of each pulse signal in each pulse cluster are sorted to obtain the phase sequence of each pulse cluster, where the phase is the phase corresponding to the peak value of the pulse signal.

[0009] Based on the phase sequence of each pulse cluster, the phase difference sequence of each pulse cluster is obtained, and the phase difference sequence includes multiple phase differences;

[0010] Based on the interval to which the phase difference in each phase difference sequence belongs, determine the number of phase difference intervals corresponding to each phase difference sequence;

[0011] Based on the number of phase difference intervals corresponding to each phase difference sequence, the clusters of periodic pulse interference signals are determined;

[0012] Based on the clustering of periodic pulse interference signals, a periodic pulse interference mask library is constructed.

[0013] Considering that the phase of partial discharge pulse signals has a certain degree of randomness, while the phase of periodic pulse interference signals is relatively fixed in each power frequency cycle, and the phase difference between adjacent periodic pulse interference signals is a fixed value in each power frequency cycle, the peak value of the same periodic pulse interference signal corresponds to the same phase in different power frequency cycles. Therefore, the phase difference of each periodic pulse interference signal is clustered around 0 degrees or a fixed value. The method provided in this embodiment of the invention uses the number of phase difference intervals corresponding to the phase difference sequence to determine the periodic pulse interference signal, thereby constructing a periodic pulse interference mask library, providing a basis for real-time identification of periodic pulse interference signals, reducing the data collected by the online partial discharge monitoring device, and avoiding false alarms caused by periodic pulse interference signals.

[0014] In conjunction with the first aspect, in the first embodiment of the first aspect, acquiring a plurality of pulse signals includes:

[0015] Obtain the initial pulse signal;

[0016] The start time of the initial pulse signal is determined according to the preset amplitude;

[0017] The cumulative energy value within a preset window corresponding to each moment of the initial pulse signal is calculated sequentially, with each moment located after the start moment.

[0018] The time corresponding to the preset window where the first energy accumulation value is less than the preset energy accumulation value is determined as the end time;

[0019] The signal located between the start and end times in the initial pulse signal is defined as the pulse signal.

[0020] In conjunction with the first aspect, in the second embodiment of the first aspect, time-domain correlation analysis is performed on each pulse signal to obtain multiple pulse clusters according to preset rules, including:

[0021] Select a target pulse signal from the unclassified pulse signals;

[0022] Time-domain correlation analysis was performed on the remaining unclassified pulse signals and the target pulse signal to obtain the correlation coefficients between the remaining unclassified pulse signals and the target pulse signal;

[0023] The target pulse signal and pulse signals with a correlation coefficient less than a first preset value are grouped into the same pulse cluster.

[0024] If there are unclassified pulse signals, return to the step of selecting a target pulse signal from the unclassified pulse signals, until all pulse signals are clustered and multiple pulse clusters are obtained.

[0025] In conjunction with the first aspect, in the third embodiment of the first aspect, determining the periodic pulse interference signal clusters based on the number of phase difference intervals corresponding to each phase difference sequence includes:

[0026] When the number of phase difference intervals corresponding to the phase difference sequence is less than the second preset value, the pulse cluster corresponding to the phase difference sequence is determined to be a periodic pulse interference signal cluster.

[0027] In conjunction with the first aspect or the third embodiment of the first aspect, in the fourth embodiment of the first aspect, a periodic pulse interference mask library is constructed based on the periodic pulse interference signal clusters, including:

[0028] In each periodic pulse interference signal cluster, the pulse signals are summed and averaged to obtain the mask signal of each periodic pulse interference signal cluster.

[0029] A periodic pulse interference mask library is constructed based on the mask signals of each periodic pulse interference signal cluster.

[0030] Secondly, the present invention also provides a method for identifying periodic pulse interference of partial discharge, the method comprising:

[0031] Acquire the pulse signal to be detected;

[0032] The pulse signal to be detected is subjected to time-domain correlation analysis with each mask signal in the periodic pulse interference mask library to obtain the correlation coefficient. The periodic pulse interference mask library is established by the partial discharge periodic pulse interference mask library construction method in the first aspect or any embodiment of the first aspect.

[0033] When the correlation coefficient between the pulse signal to be detected and at least one mask signal is less than a third preset value, the pulse signal to be detected is determined to be a periodic pulse interference signal.

[0034] Considering that the phase of partial discharge pulse signals has a certain degree of randomness, while the phase of periodic pulse interference signals is relatively fixed in each power frequency cycle, and the phase difference between adjacent periodic pulse interference signals is a fixed value in each power frequency cycle, the peak value of the same periodic pulse interference signal corresponds to the same phase in different power frequency cycles. Therefore, the phase difference of each periodic pulse interference signal is clustered around 0 degrees or a fixed value. The number of phase difference intervals corresponding to the phase difference sequence is used to determine the periodic pulse interference signal, and then a periodic pulse interference mask library is constructed. Through the method provided in this embodiment, the pulse signal to be detected is subjected to time-domain correlation analysis with the periodic pulse interference mask library. Pulse signals with a correlation coefficient less than a preset value are determined as periodic pulse interference signals, providing a basis for real-time identification of periodic pulse interference signals, reducing the data collected by the partial discharge online monitoring device, and avoiding false alarms caused by periodic pulse interference signals.

[0035] Thirdly, the present invention also provides a device for constructing a partial discharge periodic pulse interference mask library, the device comprising:

[0036] The first acquisition module is used to acquire multiple pulse signals;

[0037] The first analysis module is used to perform time-domain correlation analysis on each pulse signal and obtain multiple pulse clusters according to preset rules;

[0038] The sorting module is used to sort the phases of each pulse signal in each pulse cluster to obtain the phase sequence of each pulse cluster, where the phase is the phase corresponding to the peak value of the pulse signal.

[0039] The differential module is used to obtain the phase difference sequence of each pulse cluster based on the phase sequence of each pulse cluster. The phase difference sequence includes multiple phase differences.

[0040] The first determining module is used to determine the number of phase difference intervals corresponding to each phase difference sequence based on the interval to which the phase difference in each phase difference sequence belongs.

[0041] The second determining module is used to determine the cluster of periodic pulse interference signals based on the number of phase difference intervals corresponding to each phase difference sequence.

[0042] The module is used to build a library of periodic pulse interference masks based on the clustering of periodic pulse interference signals.

[0043] Fourthly, the present invention also provides a partial discharge periodic pulse interference identification device, the device comprising:

[0044] The second acquisition module is used to acquire the pulse signal to be detected;

[0045] The second analysis module is used to perform time-domain correlation analysis on the pulse signal to be detected with each mask signal in the periodic pulse interference mask library to obtain the correlation coefficient. The periodic pulse interference mask library is established by the partial discharge periodic pulse interference mask library construction method in the first aspect or any embodiment of the first aspect.

[0046] The determination module is used to determine that the pulse signal to be detected is a periodic pulse interference signal when the correlation coefficient between the pulse signal to be detected and at least one mask signal is less than a third preset value.

[0047] Fifthly, the present invention also provides a computer device, including a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the steps of the partial discharge periodic pulse interference mask library construction method of the first aspect or any embodiment of the first aspect, or the partial discharge periodic pulse interference identification method of the second aspect or any embodiment of the second aspect.

[0048] In a sixth aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the partial discharge periodic pulse interference mask library construction method of the first aspect or any embodiment of the first aspect, or the partial discharge periodic pulse interference identification method of the second aspect or any embodiment of the second aspect. Attached Figure Description

[0049] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0050] Figure 1 This is a flowchart of a method for constructing a partial discharge periodic pulse interference mask library according to an exemplary embodiment;

[0051] Figure 2 This is a schematic diagram of a periodic pulse interference signal under continuous power frequency cycles, as shown in one example.

[0052] Figure 3 This is a schematic diagram of the time-domain waveform of a periodic pulse interference signal in one example;

[0053] Figure 4 This is a schematic diagram of the time-domain waveform of a pulse signal in one example;

[0054] Figure 5This is a schematic diagram illustrating the energy accumulation of a pulse signal in one example.

[0055] Figure 6 This is a flowchart illustrating the process of determining the start time of a pulse signal in one example.

[0056] Figure 7 This is a flowchart illustrating the process of determining pulse clusters in one example;

[0057] Figure 8 This is a flowchart of a method for identifying periodic pulse interference of partial discharge according to an exemplary embodiment;

[0058] Figure 9 This is a schematic diagram of a partial discharge periodic pulse interference mask library construction device according to an exemplary embodiment;

[0059] Figure 10 This is a schematic diagram of a partial discharge periodic pulse interference identification device according to an exemplary embodiment;

[0060] Figure 11 This is a schematic diagram of the hardware structure of a computer device according to an exemplary embodiment. Detailed Implementation

[0061] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0062] Furthermore, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0063] To identify periodic interference signals in partial discharge pulse signals and reduce the data collected by online partial discharge monitoring devices, this invention proposes a method for constructing a partial discharge periodic pulse interference mask library and an identification method.

[0064] Figure 1 This is a flowchart illustrating a method for constructing a partial discharge periodic pulse interference mask library according to an exemplary embodiment. Figure 1 As shown, the method includes the following steps S101 to S107.

[0065] Step S101: Acquire multiple pulse signals.

[0066] In one alternative embodiment, the multiple pulse signals can be multiple pulse signals within a preset duration.

[0067] Step S102: Perform time-domain correlation analysis on each pulse signal and obtain multiple pulse clusters according to preset rules.

[0068] In one optional embodiment, time-domain correlation analysis is performed on each pulse signal to obtain the correlation coefficient, and pulse signals with correlation coefficients less than a preset value are clustered into a pulse cluster.

[0069] Step S103: Sort the phases of each pulse signal in each pulse cluster to obtain the phase sequence of each pulse cluster. The phase is the phase corresponding to the peak value of the pulse signal.

[0070] In one optional embodiment, the phases of each pulse signal in each pulse cluster can be sorted from smallest to largest, or the phases of each pulse signal in each pulse cluster can be sorted from largest to smallest; no specific limitation is made here.

[0071] Step S104: Based on the phase sequence of each pulse cluster, obtain the phase difference sequence of each pulse cluster, which includes multiple phase differences.

[0072] In an optional embodiment, the phase difference sequence is obtained by differential processing of two adjacent phases in the phase sequence.

[0073] Step S105: Determine the number of phase difference intervals corresponding to each phase difference sequence based on the interval to which the phase difference in each phase difference sequence belongs.

[0074] In an optional embodiment, the size of the interval can be set according to the actual situation; for example, it can be set to 1 degree.

[0075] Step S106: Determine the cluster of periodic pulse interference signals based on the number of phase difference intervals corresponding to each phase difference sequence.

[0076] In one optional embodiment, pulse clusters with fewer than a preset number of phase difference intervals are identified as periodic pulse interference signal clusters. The preset number can be set according to actual conditions.

[0077] Step S107: Construct a periodic pulse interference mask library based on the clusters of periodic pulse interference signals.

[0078] Considering that the phase of partial discharge pulse signals has a certain degree of randomness, while the phase of periodic pulse interference signals is relatively fixed in each power frequency cycle, and the phase difference between adjacent periodic pulse interference signals is a fixed value in each power frequency cycle, the peak value of the same periodic pulse interference signal corresponds to the same phase in different power frequency cycles. Therefore, the phase difference of each periodic pulse interference signal is clustered around 0 degrees or a fixed value. The method provided in this embodiment of the invention uses the number of phase difference intervals corresponding to the phase difference sequence to determine the periodic pulse interference signal, thereby constructing a periodic pulse interference mask library, providing a basis for real-time identification of periodic pulse interference signals, reducing the data collected by the online partial discharge monitoring device, and avoiding false alarms caused by periodic pulse interference signals.

[0079] Periodic pulse interference signals collected under continuous power frequency cycles, such as Figure 2 As shown, Figure 2 By performing local magnification and shortening the duration to 0.1ms, we obtain... Figure 3 The time-domain waveform of the periodic pulse interference signal in the image. For example... Figure 3 As shown, periodic pulse interference signals exhibit the characteristics of being distributed at equal time intervals and having approximately equal amplitudes within a short period of time.

[0080] In one example, in step S101 above, multiple pulse signals are obtained through the following:

[0081] First, acquire the initial pulse signal.

[0082] Secondly, the start time of the initial pulse signal is determined according to a preset amplitude. For example, if the amplitude of the pulse signal at a certain sampling time is greater than the preset amplitude, then this sampling time is determined as the start time. In this embodiment of the invention, the preset amplitude can be set to five times the lowest noise amplitude.

[0083] Next, the cumulative energy value within a preset window corresponding to each moment of the initial pulse signal is calculated sequentially, with each moment located after the start time. Considering that the pulse may oscillate before decaying, the amplitude cannot be used to determine the end time of the pulse signal. In this embodiment of the invention, the end time of the pulse signal is determined by a preset cumulative energy value.

[0084] In an optional embodiment, the cumulative energy value of the initial pulse signal at each moment is calculated using the following formula:

[0085]

[0086] in, For the first The cumulative energy value at each sampling time. For amplitude, The window length is used to calculate energy accumulation.

[0087] Then, the time corresponding to the first preset window where the energy accumulation value is less than the preset energy accumulation value is determined as the end time. The preset energy accumulation value and the preset window length can be set according to the actual situation.

[0088] Finally, the signal located between the start and end times in the initial pulse signal is determined as the pulse signal.

[0089] Figure 4 This is a schematic diagram of the time-domain waveform of a certain pulse signal. Figure 5 This is a schematic diagram of the energy accumulation of the pulse signal. Figure 6 This is a flowchart illustrating the process of determining the start and end times of a pulse signal. If the amplitude of the initial pulse signal does not reach the preset amplitude at any point within the preset pulse length, it is considered that no pulse signal occurred within the preset pulse length time period.

[0090] In one example, step S102 above obtains multiple pulse clusters according to the following rules:

[0091] First, select a target pulse signal from the unclassified pulse signals.

[0092] In an alternative embodiment, the first pulse signal appearing in the time-domain waveform can be selected as the target pulse signal.

[0093] Secondly, time-domain correlation analysis was performed on the remaining unclassified pulse signals and the target pulse signal to obtain the correlation coefficients between the remaining unclassified pulse signals and the target pulse signal.

[0094] In an optional embodiment, the formula for time-domain correlation analysis is as follows:

[0095]

[0096] in, CC The correlation coefficient is... Two pulse signals to be compared x ( i ) 、y ( i The length of the pulse sequence. When the lengths of two pulse signals are inconsistent, To find the maximum pulse sequence length among the two pulse signals to be compared, the shorter pulse signal is padded with zeros at the end. x ( i ) 、y ( i ) are two pulse signals to be compared after being padded with zeros.

[0097] Next, the target pulse signal and pulse signals with a correlation coefficient less than the first preset value are grouped into the same pulse cluster.

[0098] Finally, if there are unclassified pulse signals, return to the step of selecting a target pulse signal from the unclassified pulse signals, until all pulse signals are clustered and multiple pulse clusters are obtained.

[0099] In one optional embodiment, starting with the first pulse signal appearing in the time-domain waveform, it is first marked as the first pulse cluster. The correlation coefficient of all subsequent pulse signals is calculated with the first pulse signal. If the result is less than a first preset value, the pulse signal is considered similar to the first pulse, and it is marked as part of the first pulse cluster, meaning it is grouped with the first pulse signal into the same cluster for the next pulse signal calculation. If they are not similar, no processing is performed, and the next pulse signal calculation proceeds. After the correlation coefficients of all pulse signals have been calculated, the unmarked pulse signal that is closest to the appearance time of the first pulse signal in the time-domain waveform is selected and marked as the second pulse cluster. The above calculation steps are repeated until all pulse signals are marked. Figure 7 As shown.

[0100] In one example, in step S106 above, the periodic pulse interference signal clusters are determined by the following steps:

[0101] When the number of phase difference intervals corresponding to the phase difference sequence is less than the second preset value, the pulse cluster corresponding to the phase difference sequence is determined to be a periodic pulse interference signal cluster.

[0102] In one optional embodiment, the periodic pulse interference signal repeats at a fixed position in each power frequency cycle, and the time interval between pulses is relatively fixed. Therefore, for the pulse cluster to which the periodic pulse interference signal belongs, if the peak times of all pulse signals in the pulse cluster are arranged in ascending order, and then the phase sequence is differentially processed, the resulting phase differences should be widely concentrated around 0° and a certain fixed value. For example, if the peak phases of the pulse signals in a certain pulse cluster are arranged in ascending order as (1°, 30°, 31°, 31.5°, 59°, 60°, 90.1°), then the phase difference sequence obtained after differential processing is (29°, 1°, 0.5°, 27.5°, 1°, 30.1°). It can be considered that the phase differences of this type of pulse are widely concentrated around 0° and 30° (around 0° is because the peaks of periodic interference pulses in different power frequency cycles appear on the same phase, and 30° is the phase difference corresponding to the peaks of adjacent pulse signals in the same power frequency cycle). If the phase difference interval is set to 1°, then the phase difference intervals are 0°~1°, 27°~28°, 28°~29°, and 30°~31°, with a total of 4 phase difference intervals. Since partial discharge pulses do not have a fixed phase distribution pattern, even if some partial discharge pulses with waveforms similar to periodic pulse interference signals are grouped into the same pulse cluster, they can still be distinguished.

[0103] For the same pulse cluster, if the total number of pulses in that cluster is... n First, extract the phase corresponding to the peak time of all pulse signals in this category, and sort the extracted phases in ascending order. Then, perform differential processing to obtain the phase difference sequence, as shown below:

[0104]

[0105] in, For phase difference, Let n be the phase corresponding to the peak value of the k-th pulse signal, and n be the total number of pulse signals in the pulse cluster.

[0106] Ideally, the number of phase difference intervals is 2. When the pulse cluster does not consist entirely of periodic pulse interference signals, the number of phase difference intervals increases. However, considering that if a pulse cluster contains 2 pulse signals, the number of phase difference intervals is 1, which could lead to misclassification as periodic pulse interference signals without restriction, the following formula is used to determine a cluster as a periodic pulse interference signal when the number of phase difference intervals corresponding to the phase difference sequence meets the following condition:

[0107]

[0108] Where α is the number of phase difference intervals, n is the total number of pulse signals in the pulse cluster, and the second preset value can be set according to the test situation, without specific restrictions here.

[0109] In one example, in step S107 above, a library of periodic pulse interference masks is constructed through the following steps:

[0110] First, in each periodic pulse interference signal cluster, the pulse signals are summed and averaged to obtain the mask signal of each periodic pulse interference signal cluster.

[0111] In an alternative embodiment, the mask signal m ( i The amplitude at each moment in the data is obtained by summing and averaging the amplitudes of the pulse signals at the corresponding moments in the pulse cluster. The mask signal for each periodic pulse interference signal cluster is obtained by the following formula:

[0112]

[0113] in, m ( i ) is the first i The time-domain waveform of the mask signal for pulse-like clusters. x k ( i ) is the first i The first pulse cluster k The time-domain waveform of the nth pulse signal, i The number of pulse signals in a pulse-like cluster.

[0114] Then, a periodic pulse interference mask library is constructed based on the mask signals of each periodic pulse interference signal cluster.

[0115] In one example, the present invention also provides a method for identifying periodic pulse interference of partial discharge, such as... Figure 8 As shown, the method includes the following steps:

[0116] Step S801: Acquire the pulse signal to be detected.

[0117] Step S802: Perform time-domain correlation analysis on the pulse signal to be detected with each mask signal in the periodic pulse interference mask library to obtain the correlation coefficient. The periodic pulse interference mask library is established by the partial discharge periodic pulse interference mask library construction method in the above embodiment.

[0118] In an optional embodiment, the correlation coefficient is also calculated using the following formula:

[0119]

[0120] Step S803: When the correlation coefficient between the pulse signal to be detected and at least one mask signal is less than a third preset value, the pulse signal to be detected is determined to be a periodic pulse interference signal. For example, the third preset value can be the same as the first preset value, or it can be set according to actual needs; no specific restrictions are imposed here.

[0121] Considering that the phase of partial discharge pulse signals has a certain degree of randomness, while the phase of periodic pulse interference signals is relatively fixed in each power frequency cycle, and the phase difference between adjacent periodic pulse interference signals is a fixed value in each power frequency cycle, the peak value of the same periodic pulse interference signal corresponds to the same phase in different power frequency cycles. Therefore, the phase difference of each periodic pulse interference signal is clustered around 0 degrees or a fixed value. The number of phase difference intervals corresponding to the phase difference sequence is used to determine the periodic pulse interference signal, and then a periodic pulse interference mask library is constructed. Through the method provided in this embodiment, the pulse signal to be detected is subjected to time-domain correlation analysis with the periodic pulse interference mask library. Pulse signals with a correlation coefficient less than a preset value are determined as periodic pulse interference signals, providing a basis for real-time identification of periodic pulse interference signals, reducing the data collected by the partial discharge online monitoring device, and avoiding false alarms caused by periodic pulse interference signals.

[0122] In one example, the present invention also provides a device for constructing a library of partial discharge periodic pulse interference masks, such as... Figure 9 As shown, the device includes:

[0123] The first acquisition module 901 is used to acquire multiple pulse signals; for details, please refer to the description of step S101 in the above embodiment, which will not be repeated here.

[0124] The first analysis module 902 is used to perform time-domain correlation analysis on each pulse signal and obtain multiple pulse clusters according to preset rules; for details, please refer to the description of step S102 in the above embodiment, which will not be repeated here.

[0125] The sorting module 903 is used to sort the phases of each pulse signal in each pulse cluster to obtain the phase sequence of each pulse cluster, where the phase is the phase corresponding to the peak value of the pulse signal; for details, please refer to the description of step S103 in the above embodiment, which will not be repeated here.

[0126] The differential module 904 is used to obtain the phase difference sequence of each pulse cluster based on the phase sequence of each pulse cluster. The phase difference sequence includes multiple phase differences. For details, please refer to the description of step S104 in the above embodiment, which will not be repeated here.

[0127] The first determining module 905 is used to determine the number of phase difference intervals corresponding to each phase difference sequence based on the interval to which the phase difference in each phase difference sequence belongs; for details, please refer to the description of step S105 in the above embodiment, which will not be repeated here.

[0128] The second determining module 906 is used to determine the periodic pulse interference signal clusters based on the number of phase difference intervals corresponding to each phase difference sequence; for details, please refer to the description of step S106 in the above embodiment, which will not be repeated here.

[0129] The construction module 907 is used to construct a periodic pulse interference mask library based on the clustering of periodic pulse interference signals. For details, please refer to the description of step S107 in the above embodiments, which will not be repeated here.

[0130] In one example, the first acquisition module 901 includes:

[0131] The acquisition submodule is used to acquire the initial pulse signal; for details, please refer to the description in the above embodiments, which will not be repeated here.

[0132] The first determining submodule is used to determine the start time of the initial pulse signal according to the preset amplitude; for details, please refer to the description in the above embodiments, and will not be repeated here.

[0133] The calculation submodule is used to sequentially calculate the cumulative energy value within a preset window corresponding to each moment of the initial pulse signal, with each moment located after the start moment; for details, please refer to the description in the above embodiments, which will not be repeated here.

[0134] The second determining submodule is used to determine the time corresponding to the preset window where the first energy accumulation value is less than the preset energy accumulation value as the end time; for details, please refer to the description in the above embodiments, which will not be repeated here.

[0135] The third determining submodule is used to determine the signal located between the start and end times in the initial pulse signal as a pulse signal. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0136] In one example, the first analysis module 902 includes:

[0137] The selection submodule is used to select a target pulse signal from the unclassified pulse signals; for details, please refer to the description in the above embodiments, which will not be repeated here.

[0138] The analysis submodule is used to perform time-domain correlation analysis on the remaining unclassified pulse signals and the target pulse signal respectively, and obtain the correlation coefficient between the remaining unclassified pulse signals and the target pulse signal; for details, please refer to the description in the above embodiments, and will not be repeated here.

[0139] The segmentation submodule is used to divide the target pulse signal and pulse signals with a correlation coefficient less than a first preset value into the same pulse cluster; for details, please refer to the description in the above embodiments, which will not be repeated here.

[0140] The fourth determination submodule is used to, if there are unclassified pulse signals, return to the step of selecting a target pulse signal from the unclassified pulse signals, until all pulse signals are clustered and multiple pulse clusters are obtained. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0141] In one example, the second determining module 906 includes:

[0142] The determination submodule is used to determine the pulse cluster corresponding to the phase difference sequence as a periodic pulse interference signal cluster when the number of phase difference intervals corresponding to the phase difference sequence is less than a second preset value. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0143] In one example, building module 907 includes:

[0144] The averaging submodule is used to sum and average the pulse signals in each periodic pulse interference signal cluster to obtain the mask signal of each periodic pulse interference signal cluster; for details, please refer to the description in the above embodiments, and will not be repeated here.

[0145] A submodule is constructed to build a periodic pulse interference mask library based on the mask signals of each periodic pulse interference signal cluster. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0146] The present invention also provides a partial discharge periodic pulse interference identification device, such as... Figure 10 The device shown includes:

[0147] The second acquisition module 1001 is used to acquire the pulse signal to be detected; for details, please refer to the description in the above embodiments, which will not be repeated here.

[0148] The second analysis module 1002 is used to perform time-domain correlation analysis on the pulse signal to be detected with each mask signal in the periodic pulse interference mask library to obtain the correlation coefficient. The periodic pulse interference mask library is established by the partial discharge periodic pulse interference mask library construction method in the above embodiment; for details, please refer to the description in the above embodiment, and will not be repeated here.

[0149] The determination module 1003 is used to determine that the pulse signal to be detected is a periodic pulse interference signal when the correlation coefficient between the pulse signal to be detected and at least one mask signal is less than a third preset value. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0150] The specific limitations and beneficial effects of the aforementioned device can be found in the above description of the method for constructing a partial discharge periodic pulse interference mask library, or the method for identifying partial discharge periodic pulse interference, and will not be repeated here. Each of the above modules can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0151] Figure 11 This is a schematic diagram of the hardware structure of a computer device according to an exemplary embodiment. For example... Figure 11 As shown, the device includes one or more processors 1110 and a memory 1120, the memory 1120 including persistent memory, volatile memory, and a hard disk. Figure 11 Taking a processor 1110 as an example. The device may also include an input device 1130 and an output device 1140.

[0152] The processor 1110, memory 1120, input device 1130, and output device 1140 can be connected via a bus or other means. Figure 11 Taking the example of a connection between China and Israel via a bus.

[0153] Processor 1110 can be a Central Processing Unit (CPU). Processor 1110 can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof. The general-purpose processor can be a microprocessor or any conventional processor.

[0154] The memory 1120, as a non-transitory computer-readable storage medium, includes persistent memory, volatile memory, and a hard disk. It can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the partial discharge periodic pulse interference mask library construction method or the partial discharge periodic pulse interference identification method in the embodiments of this application. The processor 1110 executes various functional applications and data processing of the server by running the non-transitory software programs, instructions, and modules stored in the memory 1120, that is, implementing any of the above-mentioned partial discharge periodic pulse interference mask library construction methods or partial discharge periodic pulse interference identification methods.

[0155] The memory 1120 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data that is needed and required. Furthermore, the memory 1120 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 1120 may optionally include memory remotely located relative to the processor 1110, and these remote memories can be connected to the data processing device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0156] Input device 1130 can receive input digital or character information, and generate signal inputs related to user settings and function control. Output device 1140 may include display devices such as a display screen.

[0157] One or more modules are stored in memory 1120, and when executed by one or more processors 1110, they perform actions such as... Figure 1 The method shown.

[0158] The above-described product can execute the method provided in the embodiments of the present invention, and has the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in this embodiment can be found in [reference 1]. Figure 1 The relevant descriptions in the illustrated embodiments.

[0159] This invention also provides a non-transitory computer storage medium storing computer-executable instructions that can execute the construction or identification methods in any of the above method embodiments. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium may also include combinations of the above types of memory.

[0160] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0161] The above are merely specific embodiments of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for constructing a library of partial discharge periodic pulse interference masks, characterized in that, The method includes: Acquire multiple pulse signals; Time-domain correlation analysis is performed on each of the pulse signals to obtain multiple pulse clusters according to preset rules; The phases of each pulse signal in each pulse cluster are sorted to obtain the phase sequence of each pulse cluster, wherein the phase is the phase corresponding to the peak value of the pulse signal; Based on the phase sequence of each pulse cluster, the phase difference sequence of each pulse cluster is obtained, wherein the phase difference sequence includes multiple phase differences; Based on the interval to which the phase difference in each phase difference sequence belongs, determine the number of phase difference intervals corresponding to each phase difference sequence; Based on the number of phase difference intervals corresponding to each phase difference sequence, the clusters of periodic pulse interference signals are determined; Based on the clusters of the periodic pulse interference signals, a periodic pulse interference mask library is constructed.

2. The method according to claim 1, characterized in that, Acquire multiple pulse signals, including: Obtain the initial pulse signal; The start time of the initial pulse signal is determined according to the preset amplitude; The cumulative energy value within a preset window corresponding to each moment of the initial pulse signal is calculated sequentially, with each moment located after the starting moment. The time corresponding to the preset window where the first energy accumulation value is less than the preset energy accumulation value is determined as the end time; The signal located between the start and end times in the initial pulse signal is determined as the pulse signal.

3. The method according to claim 1, characterized in that, Time-domain correlation analysis was performed on each of the pulse signals, and multiple pulse clusters were obtained according to preset rules, including: Select a target pulse signal from the unclassified pulse signals; Time-domain correlation analysis was performed on the remaining unclassified pulse signals and the target pulse signal to obtain the correlation coefficients between the remaining unclassified pulse signals and the target pulse signal; The target pulse signal and pulse signals with a correlation coefficient less than a first preset value are grouped into the same pulse cluster. If there are unclassified pulse signals, return to the step of selecting a target pulse signal from the unclassified pulse signals, until all pulse signals are clustered and multiple pulse clusters are obtained.

4. The method according to claim 1, characterized in that, Based on the number of phase difference intervals corresponding to each phase difference sequence, the periodic pulse interference signal clusters are determined, including: When the number of phase difference intervals corresponding to the phase difference sequence is less than a second preset value, the pulse cluster corresponding to the phase difference sequence is determined to be the periodic pulse interference signal cluster.

5. The method according to claim 1 or 4, characterized in that, Based on the clusters of periodic pulse interference signals, a periodic pulse interference mask library is constructed, including: In each of the periodic pulse interference signal clusters, the pulse signals are summed and averaged to obtain the mask signal of each periodic pulse interference signal cluster. Based on the mask signals of each of the periodic pulse interference signal clusters, a periodic pulse interference mask library is constructed.

6. A method for identifying periodic pulse interference from partial discharge, characterized in that, The method includes: Acquire the pulse signal to be detected; The pulse signal to be detected is subjected to time-domain correlation analysis with each mask signal in the periodic pulse interference mask library to obtain the correlation coefficient. The periodic pulse interference mask library is established by the partial discharge periodic pulse interference mask library construction method according to any one of claims 1-5. When the correlation coefficient between the pulse signal to be detected and at least one mask signal is less than a third preset value, the pulse signal to be detected is determined to be a periodic pulse interference signal.

7. A device for constructing a partial discharge periodic pulse interference mask library, characterized in that, The device includes: The first acquisition module is used to acquire multiple pulse signals; The first analysis module is used to perform time-domain correlation analysis on each of the pulse signals and obtain multiple pulse clusters according to preset rules; The sorting module is used to sort the phases of each pulse signal in each pulse cluster to obtain the phase sequence of each pulse cluster, wherein the phase is the phase corresponding to the peak value of the pulse signal; The differential module is used to obtain the phase difference sequence of each pulse cluster based on the phase sequence of each pulse cluster, wherein the phase difference sequence includes multiple phase differences; The first determining module is used to determine the number of phase difference intervals corresponding to each phase difference sequence based on the interval to which the phase difference in each phase difference sequence belongs. The second determining module is used to determine the cluster of periodic pulse interference signals based on the number of phase difference intervals corresponding to each phase difference sequence. A construction module is used to construct a periodic pulse interference mask library based on the clusters of the periodic pulse interference signals.

8. A partial discharge periodic pulse interference identification device, characterized in that, The device includes: The second acquisition module is used to acquire the pulse signal to be detected; The second analysis module is used to perform time-domain correlation analysis on the pulse signal to be detected and each mask signal in the periodic pulse interference mask library to obtain the correlation coefficient. The periodic pulse interference mask library is established by the partial discharge periodic pulse interference mask library construction method according to any one of claims 1-5. The determination module is used to determine that the pulse signal to be detected is a periodic pulse interference signal when the correlation coefficient between the pulse signal to be detected and at least one mask signal is less than a third preset value.

9. A computer device, characterized in that, The device includes a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the partial discharge periodic pulse interference mask library construction method according to any one of claims 1-5, or to perform the steps of the partial discharge periodic pulse interference identification method according to claim 6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the partial discharge periodic pulse interference mask library construction method according to any one of claims 1-5, or performs the steps of the partial discharge periodic pulse interference identification method according to claim 6.

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