Noise cross-shaped recognition method and system based on long-time cumulative atlas

Abstract

The invention discloses a smooth solution coherence noise cross-shaped recognition method and system based on a long-time cumulative atlas, and belongs to the technical field of power equipment state evaluation. The method comprises the following steps: monitoring a plurality of sampling points of target power equipment based on a plurality of partial discharge sensors to obtain a partial discharge signal of the target power equipment; according to the partial discharge signal acquired by each partial discharge sensor, generating a corresponding partial discharge accumulation map; and carrying out smooth solution coherence calculation on the partial discharge cumulative atlas, and carrying out cross identification on the partial discharge noise position of the target power equipment according to a calculation result. According to the invention, noise judgment can be carried out on the atlas generated by long-time partial discharge, and noise interference is eliminated.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment state assessment, and more specifically, to a method and system for identifying smoothed deallocation noise based on a long-term cumulative spectrum. Background Art

[0002] Partial discharge is a discharge phenomenon caused by local breakdown in the insulating medium of power equipment. Usually, the electric field distribution borne by the insulator of electrical equipment is uneven, and high field strength areas will appear inside or on the surface of the insulating medium. Once the field strength in these areas is high enough to cause local breakdown in the area, local discharge will occur, and through continuous erosion of the surrounding insulating medium, it will eventually cause discharge failures inside the power equipment.

[0003] When power equipment discharges locally, it generates ultra-high frequency electromagnetic wave signals. By analyzing the distribution of electromagnetic wave signals in the power frequency cycle, a partial discharge spectrum is formed, and the discharge type can be identified. However, in field applications, due to interference from the outside of the power equipment, such as overhead lines, bushing clamps, electric welders, mobile phone communications, etc., this type of interference is usually directly or indirectly coupled to the ultra-high frequency sensor from the outside of the equipment, causing the sensor to generate various interference spectra, making it difficult to judge the real partial discharge inside the power equipment.

[0004] At present, wavelet denoising has become a research hotspot for signal-noise separation of partial discharge signals. Although various partial discharge interference suppression techniques based on wavelet denoising methods have achieved good results, they are mainly used in conventional pulse current methods or high-frequency current methods to suppress periodic interference and white noise in partial discharge detection. In practical applications, due to the large amount of calculation, high computational complexity, high storage space requirements, and inconvenience on hardware implementation, there are currently few successful application cases. In addition, wavelet denoising methods cannot suppress pulse-type interference that is close to the time-frequency characteristics of the discharge signal. Summary of the invention

[0005] In view of the above problems, the present invention proposes a smoothed dealcoherent noise cross recognition method based on long-term cumulative spectrum, comprising:

[0006] Based on multiple partial discharge sensors, multiple sampling points of the target power equipment are monitored to obtain partial discharge signals of the target power equipment;

[0007] Generate a corresponding partial discharge cumulative graph according to the partial discharge signal obtained by each partial discharge sensor;

[0008] A smoothing dealcoherence calculation is performed on the partial discharge cumulative spectrum, and a cross-shaped identification is performed on the partial discharge noise position of the target power equipment according to the calculation result.

[0009] Optionally, performing smoothing decoherence calculation on the partial discharge cumulative spectrum includes:

[0010] A reference signal is set, and the first coherence calculation and the post-shift coherence calculation are performed on the partial discharge cumulative spectrum. According to the calculation results of the first coherence calculation and the calculation results of the post-shift coherence calculation, the maximum coherence of each partial discharge cumulative spectrum is calculated.

[0011] Optionally, set a reference signal, including:

[0012] The partial discharge cumulative spectrum corresponding to any partial discharge sensor is set as the reference signal cumulative spectrum.

[0013] Optionally, performing a first coherence calculation on the partial discharge cumulative spectrum includes:

[0014] Select any partial discharge cumulative spectrum except the reference signal cumulative spectrum in the partial discharge cumulative spectrum, and perform one coherence calculation with the reference signal cumulative spectrum.

[0015] Optionally, the method further includes:

[0016] After the partial discharge cumulative spectrum is firstly calculated for coherence, a smoothing shift process is performed on the partial discharge cumulative spectrum corresponding to each partial discharge sensor except the reference signal cumulative spectrum.

[0017] Optionally, smoothing shift processing is performed on the partial discharge cumulative spectrum corresponding to each partial discharge sensor, including:

[0018] For the partial discharge cumulative spectrum sequence data corresponding to each partial discharge sensor, the data position is shifted rightward once;

[0019] When moving to the right, the last data is stored at the first position.

[0020] Optionally, the partial discharge cumulative spectrum is subjected to post-shift coherence calculations, including:

[0021] Select any partial discharge cumulative spectrum except the reference signal cumulative spectrum in the partial discharge cumulative spectrum, and perform coherence calculation with the reference signal cumulative spectrum.

[0022] Optionally, according to the calculation result, cross-shaped identification is performed on the position of the partial discharge noise of the target power equipment, including:

[0023] According to the calculation results, the coherence of the partial discharge cumulative spectrum is judged, and based on the judgment result, the partial discharge noise of the target power equipment is identified.

[0024] Optionally, the coherence of the partial discharge cumulative spectrum is judged, including:

[0025] When the maximum coherence of the partial discharge cumulative spectrum R i,max ≥0.85, it is determined that the corresponding ith partial discharge sensor has the same type of partial discharge as the partial discharge sensor corresponding to the reference signal cumulative spectrum, and is recorded as R i,0 =1, when R i,max <0.85, it is determined that the corresponding ith partial discharge sensor is irrelevant to the partial discharge of the partial discharge sensor corresponding to the reference signal cumulative spectrum, and is recorded as R i,0 =0.

[0026] Optionally, the cross-shaped identification of the location of the partial discharge noise of the target power equipment includes:

[0027] Case 1: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 =1, and out-of-phase partial discharge sensor R i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal accumulation spectrum is the partial discharge signal inside the equipment;

[0028] Case 2: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 = 0, and the out-of-phase partial discharge sensor R i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal cumulative spectrum is a partial discharge signal inside the equipment or a noise signal outside the equipment;

[0029] Case 3: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 = 0, and the out-of-phase partial discharge sensor R i,0 =1, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal cumulative spectrum is an external noise signal of the equipment.

[0030] On the other hand, the present invention also proposes a smoothed dealcoherence noise recognition system based on a long-term cumulative spectrum, comprising:

[0031] A sensor monitoring unit, configured to monitor multiple sampling points of a target power device based on multiple partial discharge sensors to obtain a partial discharge signal of the target power device;

[0032] A signal processing unit, used for generating a corresponding partial discharge cumulative spectrum according to the partial discharge signal acquired by each partial discharge sensor;

[0033] The smoothing decoherence calculation unit is used to perform smoothing decoherence calculation on the partial discharge cumulative spectrum, and perform cross-shaped identification on the partial discharge noise position of the target power equipment according to the calculation result.

[0034] Optionally, performing smoothing decoherence calculation on the partial discharge cumulative spectrum includes:

[0035] A reference signal is set, and the first coherence calculation and the post-shift coherence calculation are performed on the partial discharge cumulative spectrum. According to the calculation results of the first coherence calculation and the calculation results of the post-shift coherence calculation, the maximum coherence of each partial discharge cumulative spectrum is calculated.

[0036] Optionally, set a reference signal, including:

[0037] The partial discharge cumulative spectrum corresponding to any partial discharge sensor is set as the reference signal cumulative spectrum.

[0038] Optionally, performing a first coherence calculation on the partial discharge cumulative spectrum includes:

[0039] Select any partial discharge cumulative spectrum except the reference signal cumulative spectrum in the partial discharge cumulative spectrum, and perform one coherence calculation with the reference signal cumulative spectrum.

[0040] Optionally, the smoothing deallocation calculation unit is further used for:

[0041] After the partial discharge cumulative spectrum is firstly calculated for coherence, a smoothing shift process is performed on the partial discharge cumulative spectrum corresponding to each partial discharge sensor except the reference signal cumulative spectrum.

[0042] Optionally, smoothing shift processing is performed on the partial discharge cumulative spectrum corresponding to each partial discharge sensor, including:

[0043] For the partial discharge cumulative spectrum sequence data corresponding to each partial discharge sensor, the data position is shifted rightward once;

[0044] When moving to the right, the last data is stored at the first position.

[0045] Optionally, the partial discharge cumulative spectrum is subjected to post-shift coherence calculation, including:

[0046] Select any partial discharge cumulative spectrum except the reference signal cumulative spectrum in the partial discharge cumulative spectrum, and perform coherence calculation with the reference signal cumulative spectrum.

[0047] Optionally, according to the calculation result, cross-shaped identification is performed on the position of the partial discharge noise of the target power equipment, including:

[0048] According to the calculation results, the coherence of the partial discharge cumulative spectrum is judged, and based on the judgment result, the partial discharge noise of the target power equipment is identified.

[0049] Optionally, the coherence of the partial discharge cumulative spectrum is judged, including:

[0050] When the maximum coherence of the partial discharge cumulative spectrum R i,max ≥0.85, it is determined that the corresponding ith partial discharge sensor has the same type of partial discharge as the partial discharge sensor corresponding to the reference signal cumulative spectrum, and is recorded as R i,0 =1, when R i,max <0.85, it is determined that the corresponding ith partial discharge sensor is irrelevant to the partial discharge of the partial discharge sensor corresponding to the reference signal cumulative spectrum, and is recorded as R i,0 =0.

[0051] Optionally, a cross-shaped identification is performed on the location of the partial discharge noise of the target power equipment, including:

[0052] Case 1: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 =1, and out-of-phase partial discharge sensor R i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal accumulation spectrum is the partial discharge signal inside the equipment;

[0053] Case 2: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 = 0, and the out-of-phase partial discharge sensor R i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal cumulative spectrum is a partial discharge signal inside the equipment or a noise signal outside the equipment;

[0054] Case 3: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 = 0, and the out-of-phase partial discharge sensor R i,0 =1, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal cumulative spectrum is an external noise signal of the equipment.

[0055] In yet another aspect, the present invention further provides a computing device, comprising: one or more processors;

[0056] a processor for executing one or more programs;

[0057] When the one or more programs are executed by the one or more processors, the above-described method is implemented.

[0058] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, the method described above is implemented.

[0059] Compared with the prior art, the present invention has the following beneficial effects:

[0060] The present invention provides a method for cross-shaped identification of smoothed dealcoherence noise based on long-term cumulative spectrum, comprising: monitoring multiple sampling points of target power equipment based on multiple partial discharge sensors to obtain partial discharge signals of the target power equipment; generating corresponding partial discharge cumulative spectrum according to the partial discharge signals obtained by each partial discharge sensor; performing smooth dealcoherence calculation on the partial discharge cumulative spectrum, and performing cross-shaped identification on the partial discharge noise position of the target power equipment according to the calculation result. The application of the present invention can perform noise judgment on the spectrum generated by long-term partial discharge and eliminate noise interference. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 is a flow chart of the method of the present invention;

[0062] Figure 2 A flowchart of an embodiment of the method of the present invention;

[0063] Figure 3 It is a schematic diagram of the implementation principle of the method embodiment of the present invention;

[0064] Figure 4 It is a structural diagram of the system of the present invention. DETAILED DESCRIPTION

[0065] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0066] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0067] Embodiment 1:

[0068] The present invention proposes a cross-shaped recognition method for smoothed deallocation noise based on long-term cumulative spectrum. Figure 1 As shown, including:

[0069] Step 1: monitoring multiple sampling points of a target power device based on multiple partial discharge sensors to obtain a partial discharge signal of the target power device;

[0070] Step 2: generating a corresponding partial discharge cumulative graph according to the partial discharge signal obtained by each partial discharge sensor;

[0071] Step 3: performing smoothing dealcoherence calculation on the partial discharge cumulative spectrum, and performing cross-shaped identification on the partial discharge noise position of the target power equipment according to the calculation result.

[0072] The step of performing smoothing and decoherence calculation on the partial discharge cumulative spectrum includes:

[0073] A reference signal is set, and the first coherence calculation and the post-shift coherence calculation are performed on the partial discharge cumulative spectrum. According to the calculation results of the first coherence calculation and the calculation results of the post-shift coherence calculation, the maximum coherence of each partial discharge cumulative spectrum is calculated.

[0074] The step of setting a reference signal includes:

[0075] The partial discharge cumulative spectrum corresponding to any partial discharge sensor is set as the reference signal cumulative spectrum.

[0076] The first coherence calculation of the partial discharge cumulative spectrum includes:

[0077] Select any partial discharge cumulative spectrum except the reference signal cumulative spectrum in the partial discharge cumulative spectrum, and perform one coherence calculation with the reference signal cumulative spectrum.

[0078] The method further includes:

[0079] After the partial discharge cumulative spectrum is firstly calculated for coherence, a smoothing shift process is performed on the partial discharge cumulative spectrum corresponding to each partial discharge sensor except the reference signal cumulative spectrum.

[0080] The smoothing shift processing is performed on the partial discharge cumulative spectrum corresponding to each partial discharge sensor, including:

[0081] For the partial discharge cumulative spectrum sequence data corresponding to each partial discharge sensor, the data position is shifted rightward once;

[0082] When moving to the right, the last data is stored at the first position.

[0083] The coherence calculation of the partial discharge cumulative spectrum after shifting includes:

[0084] Select any partial discharge cumulative spectrum except the reference signal cumulative spectrum in the partial discharge cumulative spectrum, and perform coherence calculation with the reference signal cumulative spectrum.

[0085] According to the calculation result, the position of the partial discharge noise of the target power equipment is cross-identified, including:

[0086] According to the calculation results, the coherence of the partial discharge cumulative spectrum is judged, and based on the judgment result, the partial discharge noise of the target power equipment is identified.

[0087] The coherence of the partial discharge cumulative spectrum is judged, including:

[0088] When the maximum coherence of the partial discharge cumulative spectrum R i,max ≥0.85, it is determined that the corresponding ith partial discharge sensor has the same type of partial discharge as the partial discharge sensor corresponding to the reference signal cumulative spectrum, and is recorded as R i,0 =1, when R i,max <0.85, it is determined that the corresponding ith partial discharge sensor is irrelevant to the partial discharge of the partial discharge sensor corresponding to the reference signal cumulative spectrum, and is recorded as R i,0 =0.

[0089] The cross-shaped identification of the location of the partial discharge noise of the target power equipment includes:

[0090] Case 1: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 =1, and out-of-phase partial discharge sensor R i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal accumulation spectrum is the partial discharge signal inside the equipment;

[0091] Case 2: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 = 0, and the out-of-phase partial discharge sensor R i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal cumulative spectrum is a partial discharge signal inside the equipment or a noise signal outside the equipment;

[0092] Case 3: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 = 0, and the out-of-phase partial discharge sensor R i,0 =1, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal cumulative spectrum is an external noise signal of the equipment.

[0093] The present invention is further described below with reference to specific cases and accompanying drawings:

[0094] Specific case flow: Figure 2 As shown, it can be achieved by Figure 3 The monitoring devices shown are identified, including:

[0095] Figure 3 In the present invention, partial discharge sensors 1 to 9 simultaneously collect and monitor the partial discharge signals generated inside the equipment, and transmit the 9 signals to the smooth coherence analysis module via the transmission line.

[0096] The smoothing deallocation analysis module uses any partial discharge sensor as a reference signal, performs smoothing deallocation calculations on the remaining 8 signals, determines the correlation between each signal and the reference signal, and outputs the determination result;

[0097] Identification process, including:

[0098] The first step is to generate partial discharge spectra of 9 sensors. Set the total signal acquisition time to T (seconds), the sampling rate to S (Hz), and the 9 sensors start to collect and accumulate spectra at the same time. For the voltage value V of the i-th partial discharge sensor signal at the n-th sampling point i (n) (millivolts) for spectrum accumulation, the specific formula is as follows:

[0099]

[0100] in, is the jth power frequency reference phase sequence corresponding to the nth sampling point, mod is the remainder operator, is the phase of the ith sensor The cumulative map of . It can be expressed as:

[0101]

[0102] The second step is to set the reference signal and set the cumulative spectrum of the Kth sensor as the reference signal cumulative spectrum.

[0103] The third step is the first coherence calculation, selecting the cumulative spectrum of the i-th sensor signal And perform a coherence calculation with the reference signal cumulative spectrum:

[0104]

[0105] Among them, r0(i,0) is the coherence between the cumulative spectrum of the i-th partial discharge sensor and the cumulative spectrum of the reference signal when no smoothing shift is performed.

[0106] Step 4: Smooth shift. In addition to the reference signal, the data position of the power frequency reference phase sequence and the cumulative spectrum sequence generated by each partial discharge sensor is shifted to the right once, and the first data of the original sequence is moved to the second bit, and so on. The last data (the Lth data) is stored in the first bit:

[0107]

[0108] Wherein, p is the data storage position in the power frequency reference phase sequence or the cumulative spectrum sequence.

[0109] The fifth step is to calculate the coherence after the shift. The coherence between the accumulated spectra of each sensor and the accumulated spectra of the reference signal after the current smooth shift is calculated. After the calculation, the fourth step is repeated. The shift is (L-1) times in total. The shift is terminated after (L-1) times:

[0110]

[0111] Where m is the number of smoothing shifts, r0(i,m) is the cumulative spectrum of the i-th partial discharge sensor and the cumulative spectrum of the reference signal after the m-th shift. The coherence of.

[0112] The sixth step is to calculate the maximum coherence of the accumulated spectrum of each sensor:

[0113] R i,max =max(r0(i,m))0≤m≤(L-1)

[0114] Step 7: Coherence judgment. i,max When ≥0.85, the i-th sensor is considered to have the same type of partial discharge as the reference sensor, denoted by R i,0 =1, when R i,max <0.85, the ith sensor is considered to be independent of the partial discharge measured by the reference sensor, denoted by R i,0 =0.

[0115] Step 8: Cross-comparison and judgment of the location of partial discharge noise.

[0116] Case 1: When the sensor R is in phase with the reference sensor i,0 =1, and the out-of-phase sensor R i,0 When =0, it indicates that the signal received by the reference sensor is a partial discharge inside the device, not a noise signal, and there is a high risk of abnormality inside the device.

[0117] Case 2: When the sensor R is in phase with the reference sensor i,0 = 0, and the out-of-phase sensor R i,0 When =0, it indicates that the signal received by the reference sensor may be a partial discharge inside the equipment, or a noise signal.

[0118] Case 3: When the sensor R is in phase with the reference sensor i,0 = 0, and the out-of-phase sensor R i,0 When =1, it indicates that the signal received by the reference sensor is an external noise signal.

[0119] At present, State Grid Corporation of China has installed nearly 5,000 ultra-high frequency partial discharge sensors, and the number of partial discharge alarm events each quarter is about 20,000, but 90% of them are caused by external interference. The "smoothed deallocation noise identification method based on long-term cumulative spectrum pattern" proposed in the present invention is used to perform noise interference analysis on the spectrum generated each quarter. After the noise analysis, only the internal abnormal signals need to be manually analyzed, which greatly improves the analysis speed and the analysis efficiency by about 90%.

[0120] Embodiment 2:

[0121] The present invention also proposes a smoothed dealcoherence noise identification system 200 based on long-term cumulative spectrum, such as Figure 4 As shown, including:

[0122] A sensor monitoring unit 201 is used to monitor multiple sampling points of a target power device based on multiple partial discharge sensors to obtain a partial discharge signal of the target power device;

[0123] The signal processing unit 202 is used to generate a corresponding partial discharge cumulative spectrum according to the partial discharge signal obtained by each partial discharge sensor;

[0124] The smoothing dealcoherence calculation unit 203 is used to perform smoothing dealcoherence calculation on the partial discharge cumulative spectrum, and perform cross-shaped identification on the partial discharge noise position of the target power equipment according to the calculation result.

[0125] The step of performing smoothing and decoherence calculation on the partial discharge cumulative spectrum includes:

[0126] The first coherence calculation and the post-shift coherence calculation are performed on the partial discharge cumulative spectrum, and the maximum coherence of each partial discharge cumulative spectrum is calculated according to the calculation results of the first coherence calculation and the calculation results of the post-shift coherence calculation.

[0127] The step of setting a reference signal includes:

[0128] The partial discharge cumulative spectrum corresponding to any partial discharge sensor is set as the reference signal cumulative spectrum.

[0129] The first coherence calculation of the partial discharge cumulative spectrum includes:

[0130] Select any partial discharge cumulative spectrum except the reference signal cumulative spectrum in the partial discharge cumulative spectrum, and perform one coherence calculation with the reference signal cumulative spectrum.

[0131] Wherein, the smoothing deallocation calculation unit is also used for:

[0132] After the partial discharge cumulative spectrum is firstly calculated for coherence, a smoothing shift process is performed on the partial discharge cumulative spectrum corresponding to each partial discharge sensor except the reference signal cumulative spectrum.

[0133] The smoothing shift processing is performed on the partial discharge cumulative spectrum corresponding to each partial discharge sensor, including:

[0134] For the partial discharge cumulative spectrum sequence data corresponding to each partial discharge sensor, the data position is shifted rightward once;

[0135] When moving to the right, the last data is stored at the first position.

[0136] The coherence calculation of the partial discharge cumulative spectrum after shifting includes:

[0137] Select any partial discharge cumulative spectrum except the reference signal cumulative spectrum in the partial discharge cumulative spectrum, and perform coherence calculation with the reference signal cumulative spectrum.

[0138] According to the calculation result, the position of the partial discharge noise of the target power equipment is cross-identified, including:

[0139] According to the calculation results, the coherence of the partial discharge cumulative spectrum is judged, and based on the judgment result, the partial discharge noise of the target power equipment is identified.

[0140] The coherence of the partial discharge cumulative spectrum is judged, including:

[0141] When the maximum coherence of the partial discharge cumulative spectrum R i,max ≥0.85, it is determined that the corresponding ith partial discharge sensor has the same type of partial discharge as the partial discharge sensor corresponding to the reference signal cumulative spectrum, and is recorded as R i,0 =1, when R i,max <0.85, it is determined that the corresponding ith partial discharge sensor is irrelevant to the partial discharge of the partial discharge sensor corresponding to the reference signal cumulative spectrum, and is recorded as R i,0 =0.

[0142] Among them, the cross-shaped identification of the partial discharge noise position of the target power equipment includes:

[0143] Case 1: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 =1, and out-of-phase partial discharge sensor R i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal accumulation spectrum is the partial discharge signal inside the equipment;

[0144] Case 2: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 = 0, and the out-of-phase partial discharge sensor R i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal cumulative spectrum is a partial discharge signal inside the equipment or a noise signal outside the equipment;

[0145] Case 3: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 = 0, and the out-of-phase partial discharge sensor R i,0 =1, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal cumulative spectrum is an external noise signal of the equipment.

[0146] The application of the present invention can perform noise judgment on the spectrum generated by long-term partial discharge and eliminate noise interference.

[0147] Embodiment 3:

[0148] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding functions, so as to implement the steps of the method in the above embodiment.

[0149] Embodiment 4:

[0150] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in a computer device and, of course, an extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the method in the above embodiment.

[0151] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0152] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0153] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0154] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0155] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0156] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A smoothed decoherent noise cross recognition method based on long-term cumulative spectrum, characterized in that: include: Based on multiple partial discharge sensors, multiple sampling points of the target power equipment are monitored to obtain partial discharge signals of the target power equipment; Generate a corresponding partial discharge cumulative graph according to the partial discharge signal obtained by each partial discharge sensor; A smoothing dealcoherence calculation is performed on the partial discharge cumulative spectrum, and a cross-shaped identification is performed on the partial discharge noise position of the target power equipment according to the calculation result.

2. The method for identifying smoothed deallocation noise according to claim 1, characterized in that: The performing smoothing decoherence calculation on the partial discharge cumulative spectrum includes: A reference signal is set, and the first coherence calculation and the post-shift coherence calculation are performed on the partial discharge cumulative spectrum. According to the calculation results of the first coherence calculation and the calculation results of the post-shift coherence calculation, the maximum coherence of each partial discharge cumulative spectrum is calculated.

3. The method for identifying smoothed deallocation noise according to claim 2, characterized in that: The setting of the reference signal comprises: The partial discharge cumulative spectrum corresponding to any partial discharge sensor is set as the reference signal cumulative spectrum.

4. The method for identifying smoothed deallocation noise according to claim 2, characterized in that: The first coherence calculation of the partial discharge cumulative spectrum includes: Select any partial discharge cumulative spectrum except the reference signal cumulative spectrum in the partial discharge cumulative spectrum, and perform one coherence calculation with the reference signal cumulative spectrum.

5. The method for identifying smoothed deallocation noise according to claim 2, characterized in that: The method further comprises: After the partial discharge cumulative spectrum is firstly calculated for coherence, a smoothing shift process is performed on the partial discharge cumulative spectrum corresponding to each partial discharge sensor except the reference signal cumulative spectrum.

6. The method for identifying smoothed deallocation noise according to claim 5, characterized in that: The smoothing shift processing of the partial discharge cumulative spectrum corresponding to each partial discharge sensor includes: For the partial discharge cumulative spectrum sequence data corresponding to each partial discharge sensor, the data position is shifted rightward once; When moving to the right, the last data is stored at the first position.

7. The method for identifying smoothed deallocation noise according to claim 2, characterized in that: The post-shift coherence calculation of the partial discharge cumulative spectrum includes: Select any partial discharge cumulative spectrum except the reference signal cumulative spectrum in the partial discharge cumulative spectrum, and perform coherence calculation with the reference signal cumulative spectrum.

8. The method for identifying smoothed deallocation noise according to claim 1, characterized in that: The cross-shaped identification of the partial discharge noise position of the target power equipment according to the calculation result includes: According to the calculation results, the coherence of the partial discharge cumulative spectrum is judged, and based on the judgment result, the partial discharge noise of the target power equipment is identified.

9. The method for identifying smoothed deallocation noise according to claim 8, characterized in that: The determining of the coherence of the partial discharge cumulative spectrum includes: When the maximum coherence of the partial discharge cumulative spectrum R i,max ≥0.85, it is determined that the corresponding ith partial discharge sensor has the same type of partial discharge as the partial discharge sensor corresponding to the reference signal cumulative spectrum, and is recorded as R i,0 =1, when R i,max <0.85, it is determined that the corresponding ith partial discharge sensor is irrelevant to the partial discharge of the partial discharge sensor corresponding to the reference signal cumulative spectrum, and is recorded as R i,0 =0.

10. The method for identifying smoothed deallocation noise according to claim 8, characterized in that: The cross-shaped identification of the partial discharge noise position of the target power equipment includes: Case 1: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 =1, and out-of-phase partial discharge sensor R i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal accumulation spectrum is the partial discharge signal inside the equipment; Case 2: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 = 0, and the out-of-phase partial discharge sensor R i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal cumulative spectrum is a partial discharge signal inside the equipment or a noise signal outside the equipment; Case 3: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 = 0, and the out-of-phase partial discharge sensor R i,0 =1, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal cumulative spectrum is an external noise signal of the equipment.

11. A smoothed deallocation noise recognition system based on long-term cumulative spectrum, characterized in that: include: A sensor monitoring unit, configured to monitor multiple sampling points of a target power device based on multiple partial discharge sensors to obtain a partial discharge signal of the target power device; A signal processing unit, used for generating a corresponding partial discharge cumulative graph according to the partial discharge signal acquired by each partial discharge sensor; The smoothing decoherence calculation unit is used to perform smoothing decoherence calculation on the partial discharge cumulative spectrum, and perform cross-shaped identification on the partial discharge noise position of the target power equipment according to the calculation result.

12. The smoothed deallocation noise identification system according to claim 11, characterized in that: The performing smoothing decoherence calculation on the partial discharge cumulative spectrum includes: A reference signal is set, and the first coherence calculation and the post-shift coherence calculation are performed on the partial discharge cumulative spectrum. According to the calculation results of the first coherence calculation and the calculation results of the post-shift coherence calculation, the maximum coherence of each partial discharge cumulative spectrum is calculated.

13. The smoothed deallocation noise identification system according to claim 12, characterized in that: The setting of the reference signal comprises: The partial discharge cumulative spectrum corresponding to any partial discharge sensor is set as the reference signal cumulative spectrum.

14. The smoothed deallocation noise identification system according to claim 12, characterized in that: The first coherence calculation of the partial discharge cumulative spectrum includes: Select any partial discharge cumulative spectrum except the reference signal cumulative spectrum in the partial discharge cumulative spectrum, and perform one coherence calculation with the reference signal cumulative spectrum.

15. The smoothed deallocation noise identification system according to claim 12, characterized in that: The smoothing deallocation calculation unit is further used for: After the partial discharge cumulative spectrum is firstly calculated for coherence, a smoothing shift process is performed on the partial discharge cumulative spectrum corresponding to each partial discharge sensor except the reference signal cumulative spectrum.

16. The method for identifying smoothed deallocation noise according to claim 15, characterized in that: The smoothing shift processing of the partial discharge cumulative spectrum corresponding to each partial discharge sensor includes: For the partial discharge cumulative spectrum sequence data corresponding to each partial discharge sensor, the data position is shifted rightward once; When moving to the right, the last data is stored at the first position.

17. The smoothed dealcoherence noise identification system according to claim 12, characterized in that: The post-shift coherence calculation of the partial discharge cumulative spectrum includes: Select any partial discharge cumulative spectrum except the reference signal cumulative spectrum in the partial discharge cumulative spectrum, and perform coherence calculation with the reference signal cumulative spectrum.

18. The smoothed deallocation noise identification system according to claim 11, characterized in that: The cross-shaped identification of the partial discharge noise position of the target power equipment according to the calculation result includes: According to the calculation results, the coherence of the partial discharge cumulative spectrum is judged, and based on the judgment result, the partial discharge noise of the target power equipment is identified.

19. The smoothed decorrelation noise identification system according to claim 18, characterized in that: The determining of the coherence of the partial discharge cumulative spectrum includes: When the maximum coherence of the partial discharge cumulative spectrum R i,max ≥0.85, it is determined that the corresponding ith partial discharge sensor has the same type of partial discharge as the partial discharge sensor corresponding to the reference signal cumulative spectrum, and is recorded as R i,0 =1, when R i,max <0.85, it is determined that the corresponding ith partial discharge sensor is irrelevant to the partial discharge of the partial discharge sensor corresponding to the reference signal cumulative spectrum, and is recorded as R i,0 =0.

20. The smoothed deallocation noise identification system according to claim 18, characterized in that: The cross-shaped identification of the partial discharge noise position of the target power equipment includes: Case 1: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 =1, and out-of-phase partial discharge sensor R i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal accumulation spectrum is the partial discharge signal inside the equipment; Case 2: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 = 0, and the out-of-phase partial discharge sensor R i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal cumulative spectrum is a partial discharge signal inside the equipment or a noise signal outside the equipment; Case 3: When the PD sensor R has the same phase as the PD sensor corresponding to the reference signal accumulation spectrum i,0 = 0, and the out-of-phase partial discharge sensor R i,0 =1, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal cumulative spectrum is an external noise signal of the equipment.

21. A computer device, characterized in that: include: one or more processors; a processor for executing one or more programs; When the one or more programs are executed by the one or more processors, the method according to any one of claims 1 to 10 is implemented.

22. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the method according to any one of claims 1 to 10 is implemented.

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