Noise cross-shaped recognition method and system based on real-time signals
By using a smooth solution to the dry noise recognition method based on real -time signals in the power equipment, using multiple local discharge sensors to monitor and process signals, solve the complexity of local discharge signal signals in the existing technology The problem realizes efficient noise judgment and signal recognition.
Patent Information
- Application Number
- CN202411334100.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-24
- Publication Date
- 2025-01-28
AI Technical Summary
The prior art has problems in signal-to-noise separation of local discharge signals in power equipment, such as high computational complexity, high storage space requirements, and the inability to effectively suppress pulse-type interference close to the time-frequency characteristics of the discharge signals.
Adopt a smooth -solving and dry noise recognition method based on real -time signals, monitor the sampling point of the target power equipment through multiple local discharge sensors, generate a single local discharge time sequence, and perform smooth solutions to the cross -shaped recognition according to the calculation results to determine Noise.
Effectively judge the noise of each discharge signal, eliminate noise interference, improve the accuracy of the identification of local discharge signals, and reduce the computing complexity and storage space requirements.
Smart Images
Figure CN119375623A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power equipment condition assessment technology, and more specifically, to a method and system for identifying smoothed decoherent noise based on real-time signals. Background Art
[0002] Partial discharge is a discharge phenomenon caused by local breakdown in the insulating medium of electrical equipment. Usually, the electric field distribution on 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, partial discharge will occur, and by continuously eroding the surrounding insulating medium, it will eventually cause a discharge failure inside the power equipment.
[0003] When power equipment experiences partial discharge, it generates ultra-high frequency (UHF) electromagnetic wave signals. By analyzing the distribution of these signals within the power frequency cycle, a partial discharge pattern is generated, allowing the type of discharge to be identified. However, in field applications, external interference from power equipment, such as overhead lines, bushing clamps, welding machines, and mobile phones, often directly or indirectly couples to the UHF sensor. This causes the sensor to generate various interference patterns, making it difficult to identify the true partial discharge within 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, and high storage space requirements, it is not conducive to 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] To address the above problems, this invention proposes a method for identifying smoothed decoherent noise based on real-time signals, comprising:
[0006] Multiple sampling points of the target power equipment are monitored using multiple partial discharge sensors to obtain a single partial discharge signal of the target power equipment;
[0007] Based on the single partial discharge signal acquired by each partial discharge sensor, a corresponding single partial discharge time series is generated;
[0008] The time series of the single partial discharge is smoothed and decoherently calculated. Based on the calculation results, the location of the single partial discharge noise of the target power equipment is identified in a cross shape.
[0009] Optionally, smoothing and decoherence calculation is performed on the single partial discharge time series, including:
[0010] A reference signal is set, and the first coherence calculation and the post-shift coherence calculation are performed on the single partial discharge time series. Based on the calculation results of the first coherence calculation and the post-shift coherence calculation, the maximum coherence of each single partial discharge time series is calculated.
[0011] Optionally, a reference signal can be set, including:
[0012] Set a single partial discharge time series corresponding to any partial discharge sensor as a reference signal.
[0013] Optionally, the first coherence calculation is performed on the single partial discharge time series, including:
[0014] Select any single partial discharge time series except the reference signal in the single partial discharge time series, and perform one coherence calculation with the reference signal.
[0015] Optionally, the method also includes:
[0016] After the first coherence calculation is performed on the single partial discharge time series, a smoothing shift process is performed on the single partial discharge time series corresponding to each partial discharge sensor except for the reference signal.
[0017] Optionally, the time series of a single partial discharge corresponding to each partial discharge sensor is smoothed and shifted, including:
[0018] For each partial discharge sensor, the time series data of a single partial discharge is shifted to the right by one step.
[0019] When moving to the right, the last data is stored at the first position.
[0020] Optionally, the coherence of a single partial discharge time series is calculated after shifting, including:
[0021] Select any single partial discharge time series other than the reference signal from the single partial discharge time series, and perform coherence calculation with the reference signal.
[0022] Optionally, based on the calculation results, the time series of a single partial discharge of the target power equipment is identified, including:
[0023] Based on the calculation results, the coherence of a single partial discharge time series is judged, and based on the judgment results, the location of partial discharge noise of the target power equipment is identified in a cross shape.
[0024] Optionally, the coherence of a single partial discharge time series is judged, including:
[0025] When the maximum coherence of a single partial discharge time series RX i,max When ≥0.85, it is determined that the corresponding ith partial discharge sensor and the partial discharge sensor corresponding to the reference signal have the same type of single partial discharge and are recorded as RX i,0 =1, when RX i,max <0.85, it is determined that the corresponding ith partial discharge sensor has nothing to do with the single partial discharge of the partial discharge sensor corresponding to the reference signal, and is recorded as RX i,0 =0.
[0026] Optionally, cross-shaped identification of the location of the partial discharge noise of the target power equipment is performed, including:
[0027] When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 =1, and the out-of-phase partial discharge sensor RX i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is a single partial discharge signal inside the equipment;
[0028] When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 =0, and the out-of-phase partial discharge sensor RX i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is a single partial discharge signal inside the equipment or a noise signal outside the equipment;
[0029] When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 =0, and the out-of-phase partial discharge sensor RX i,0 =1, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is an external noise signal of the equipment.
[0030] In another aspect, the present invention further proposes a smoothed decorrelation noise identification system based on real-time signals, comprising:
[0031] A signal acquisition unit, configured to monitor multiple sampling points of a target power device based on multiple partial discharge sensors to obtain a single partial discharge signal of the target power device;
[0032] a signal processing unit, configured to generate a corresponding single partial discharge time series according to the single partial discharge signal acquired by each partial discharge sensor;
[0033] The smoothing decoherence calculation unit is used to perform smoothing decoherence calculation on the single partial discharge time series, and to perform cross-shaped identification of the single partial discharge noise location of the target power equipment based on the calculation results.
[0034] Optionally, smoothing and decoherence calculation is performed on the single partial discharge time series, including:
[0035] A reference signal is set, and the first coherence calculation and the post-shift coherence calculation are performed on the single partial discharge time series. Based on the calculation results of the first coherence calculation and the post-shift coherence calculation, the maximum coherence of each single partial discharge time series is calculated.
[0036] Optionally, a reference signal can be set, including:
[0037] Set a single partial discharge time series corresponding to any partial discharge sensor as a reference signal.
[0038] Optionally, the first coherence calculation is performed on the single partial discharge time series, including:
[0039] Select any single partial discharge time series except the reference signal in the single partial discharge time series, and perform one coherence calculation with the reference signal.
[0040] Optionally, the smoothing decoherence calculation unit is also used for:
[0041] After the first coherence calculation is performed on the single partial discharge time series, a smoothing shift process is performed on the single partial discharge time series corresponding to each partial discharge sensor except for the reference signal.
[0042] Optionally, the time series of a single partial discharge corresponding to each partial discharge sensor is smoothed and shifted, including:
[0043] For each partial discharge sensor, the time series data of a single partial discharge is shifted to the right by one step.
[0044] When moving to the right, the last data is stored at the first position.
[0045] Optionally, the coherence calculation of the single partial discharge time series after shifting includes:
[0046] Select any single partial discharge time series other than the reference signal from the single partial discharge time series, and perform coherence calculation with the reference signal.
[0047] Optionally, based on the calculation results, the time series of a single partial discharge of the target power equipment is identified, including:
[0048] Based on the calculation results, the coherence of a single partial discharge time series is judged, and based on the judgment results, the location of partial discharge noise of the target power equipment is identified in a cross shape.
[0049] Optionally, the coherence of a single partial discharge time series is judged, including:
[0050] When the maximum coherence of a single partial discharge time series RX i,max When ≥0.85, it is determined that the corresponding ith partial discharge sensor and the partial discharge sensor corresponding to the reference signal have the same type of single partial discharge and are recorded as RX i,0 =1, when RX i,max <0.85, it is determined that the corresponding ith partial discharge sensor has nothing to do with the single partial discharge of the partial discharge sensor corresponding to the reference signal, and is recorded as RX i,0 =0.
[0051] Optionally, cross-shaped identification of the location of the partial discharge noise of the target power equipment is performed, including:
[0052] When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 =1, and the out-of-phase partial discharge sensor RX i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is a single partial discharge signal inside the equipment;
[0053] When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 =0, and the out-of-phase partial discharge sensor RX i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is a single partial discharge signal inside the equipment or a noise signal outside the equipment;
[0054] When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 =0, and the out-of-phase partial discharge sensor RX i,0 =1, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is an external noise signal of the equipment.
[0055] In another aspect, the present invention also provides a computing device, comprising: one or more processors;
[0056] A processor is used to execute 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 another aspect, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the method described above.
[0059] Compared with the prior art, the present invention has the following beneficial effects:
[0060] The present invention provides a method for identifying smoothed deallocation noise based on real-time signals. The method comprises: monitoring multiple sampling points of a target power device using multiple partial discharge sensors to obtain single partial discharge signals from the target power device; generating a corresponding single partial discharge time series based on the single partial discharge signals obtained by each partial discharge sensor; performing smoothed deallocation calculations on the single partial discharge time series, and, based on the calculation results, performing cross-shaped identification of the single partial discharge noise location of the target power device. The present invention can perform noise determination on each discharge signal, eliminating noise interference. Attached Figure Description
[0061] Figure 1 This is a flowchart of the method of the present invention;
[0062] Figure 2 This is a flowchart of an embodiment of the method of the present invention;
[0063] Figure 3 This is a schematic diagram illustrating the implementation principle of an embodiment of the method of the present invention;
[0064] Figure 4 This is a structural diagram of the system of the present invention. Detailed Implementation
[0065] Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to provide a thorough and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments shown in the accompanying drawings is not intended to limit the present invention. In the accompanying drawings, identical elements are denoted by the same reference numerals.
[0066] Unless otherwise stated, the terms used herein (including technical terms) have their common meaning as understood by one of ordinary skill in the art. Furthermore, it is understood that terms defined in commonly used dictionaries should be understood to have a meaning consistent with the context of their relevant field, and not to be interpreted as having an idealized or overly formal meaning.
[0067] Example 1:
[0068] This invention proposes a method for identifying smoothed decoherent noise based on real-time signals, such as... Figure 1 Shown, including:
[0069] Step 1: Monitor multiple sampling points of the target power equipment based on multiple partial discharge sensors to obtain a single partial discharge signal of the target power equipment;
[0070] Step 2: Generate the corresponding single partial discharge time series based on the single partial discharge signal acquired by each partial discharge sensor;
[0071] Step 3: Perform smoothing and decoherence calculation on the single partial discharge time series, and identify the location of the single partial discharge noise of the target power equipment in a cross shape based on the calculation results.
[0072] The smoothing and decoherence calculation of the single partial discharge time series includes:
[0073] A reference signal is set, and the first coherence calculation and the post-shift coherence calculation are performed on the single partial discharge time series. Based on the calculation results of the first coherence calculation and the post-shift coherence calculation, the maximum coherence of each single partial discharge time series is calculated.
[0074] The setting of reference signals includes:
[0075] Set a single partial discharge time series corresponding to any partial discharge sensor as a reference signal.
[0076] The initial coherence calculation for the single partial discharge time series includes:
[0077] Select any single partial discharge time series except the reference signal in the single partial discharge time series, and perform one coherence calculation with the reference signal.
[0078] The methods also include:
[0079] After the first coherence calculation is performed on the single partial discharge time series, a smoothing shift process is performed on the single partial discharge time series corresponding to each partial discharge sensor except for the reference signal.
[0080] The process includes smoothing and shifting the time series of a single partial discharge corresponding to each partial discharge sensor, including:
[0081] For each partial discharge sensor, the time series data of a single partial discharge is shifted to the right by one step.
[0082] When moving to the right, the last data is stored at the first position.
[0083] The coherence calculation of a single partial discharge time series after shifting includes:
[0084] Select any single partial discharge time series other than the reference signal from the single partial discharge time series, and perform coherence calculation with the reference signal.
[0085] The identification of a single partial discharge time sequence of the target power equipment based on the calculation results includes:
[0086] Based on the calculation results, the coherence of a single partial discharge time series is judged, and based on the judgment results, the location of partial discharge noise of the target power equipment is identified in a cross shape.
[0087] The determination of the coherence of a single partial discharge time series includes:
[0088] When the maximum coherence of a single partial discharge time series is RX i,max When the value is ≥0.85, it is determined that the i-th partial discharge sensor and the partial discharge sensor corresponding to the reference signal have the same type of single partial discharge, and this is recorded as RX. i,0 =1, when RX i,max When the value is less than 0.85, it is determined that the i-th partial discharge sensor is independent of the single partial discharge of the partial discharge sensor corresponding to the reference signal, and is recorded as RX. i,0 =0.
[0089] Among these methods, the location of partial discharge noise in the target power equipment is identified in a cross shape, including:
[0090] When the partial discharge sensor RX is in phase with the reference signal i,0 =1, and out-of-phase partial discharge sensor RX i,0 When = 0, the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is determined to be a single partial discharge signal inside the device;
[0091] When the partial discharge sensor RX is in phase with the reference signal i,0 =0, and the out-of-phase partial discharge sensor RX i,0 When = 0, determine the partial discharge signal received by the partial discharge sensor corresponding to the reference signal, which is either a single partial discharge signal inside the equipment or an external noise signal;
[0092] When the partial discharge sensor RX is in phase with the reference signal i,0 =0, and the out-of-phase partial discharge sensor RX i,0 When = 1, the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is determined to be an external noise signal of the equipment.
[0093] The invention will be further described below with reference to specific examples and accompanying drawings:
[0094] Specific case process as follows: Figure 2 As shown, it can be achieved through, as Figure 3 The monitoring device shown is used for identification, including:
[0095] Figure 3 In the process, partial discharge sensors 1 to 9 simultaneously collect and monitor the partial discharge signals generated inside the device. The nine signals are then transmitted simultaneously to the smooth coherence analysis module via a transmission line.
[0096] The smoothing and decoherence analysis module uses any one partial discharge sensor as a reference signal to perform smoothing and decoherence calculations on the other 8 signals, and determines the correlation between each signal and the reference signal, and outputs the judgment result.
[0097] The identification process includes:
[0098] The first step is to generate single partial discharge time series from nine sensors. In the smoothed decoherent signal analysis module, the trigger level of the reference sensor is set to v1, the total duration of a single signal acquisition is T (seconds), the sampling rate is S (Hz), and a total of N acquisitions are performed. When the signal amplitude received by the reference sensor is greater than v1, the partial discharge signals from all nine sensors are simultaneously acquired and stored as a matrix X.
[0099]
[0100] Where N = T × S is the length of a single partial discharge time series, and the voltage value collected by the i-th sensor is stored in the i-th row of matrix X in time series. That is, the matrix element X(i,n) represents the partial discharge signal voltage value stored by the i-th sensor at the n-th sampling.
[0101] The second step is to set the reference signal, and set the single partial discharge time series of the Kth sensor as the reference signal sequence.
[0102] The third step is the first coherence calculation. Select the single partial discharge time series X(i,n) of the i-th sensor signal and perform a coherence calculation with the reference signal sequence:
[0103]
[0104] Where r(i,0) is the coherence between the single partial discharge time series of the i-th partial discharge sensor and the reference signal sequence X(K,n) when no smoothing shift is performed.
[0105] Step 4: Smooth shift. In addition to the reference signal sequence, the position of the single partial discharge time series data generated by each partial discharge sensor is shifted to the right by one. The first data in the original sequence is moved to the second position, and so on. The last data (the Lth data) is stored in the first position:
[0106]
[0107] The fifth step is to calculate the coherence after the shift. The coherence between the single partial discharge time series of each sensor and the reference signal sequence after the current smooth shift is calculated. After the calculation, the fourth step is repeated for a total of (N-1) shifts. The shift is terminated after (N-1) shifts:
[0108]
[0109] Where m is the number of smooth shifts, and r(i,m) is the coherence between the time series of a single partial discharge of the i-th partial discharge sensor and the reference signal sequence after the m-th shift.
[0110] Step 6: Calculate the maximum coherence of the time series of a single partial discharge for each sensor:
[0111] RX i,max = max(r(i,m)) 0≤m≤(N-1)
[0112] Step 7: Coherence determination. i,max When the value is ≥0.85, the i-th sensor is considered to have the same type of partial discharge as the reference sensor, denoted as RX. i,0 =1, when RX i,max When the value is less than 0.85, the partial discharge measured by the i-th sensor is considered to be independent of that measured by the reference sensor, and is denoted as RX. i,0 =0.
[0113] Step 8: Cross-comparison judgment of the location of partial discharge noise.
[0114] Case 1: When the sensor RX is in phase with the reference sensor i,0 =1, and the out-of-phase sensor RX i,0 When the value is 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 an anomaly inside the device.
[0115] Case 2: When the sensor RX is in phase with the reference sensor i,0 = 0, and out-of-phase sensor RX 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.
[0116] Case 3: When the sensor RX is in phase with the reference sensori,0 =0, and the out-of-phase sensor RX i,0 When = 1, it indicates that the signal received by the reference sensor is an external noise signal.
[0117] The present invention addresses the issues of large amounts of interference noise signals present in substations during substation construction, infrastructure commissioning, and large-scale operation of switchgear. Local discharge signals generated by internal defects in the equipment are often drowned out by the noise signals, making them difficult to identify solely through cumulative maps (where a large number of interference signals exist). To address the analysis needs in such scenarios, the present invention's "smoothed deallocation noise identification method based on real-time signal recognition mode" can perform noise judgment on each discharge signal and eliminate noise interference. The method has been applied in 32 State Grid substations and has successfully discovered more than 20 defects in ultra-high voltage GIS equipment.
[0118] Example 2:
[0119] The present invention also proposes a smoothed decorrelation noise identification system 200 based on real-time signals, such as Figure 4 Shown, including:
[0120] The signal acquisition unit 201 is used to monitor multiple sampling points of the target power equipment based on multiple partial discharge sensors in order to obtain a single partial discharge signal of the target power equipment.
[0121] The signal processing unit 202 is configured to generate a corresponding single partial discharge time series according to the single partial discharge signal obtained by each partial discharge sensor;
[0122] The smoothing decoherence calculation unit 203 is used to perform smoothing decoherence calculation on the single partial discharge time series, and to perform cross-shaped identification of the single partial discharge noise location of the target power equipment based on the calculation results.
[0123] The smoothing and decoherence calculation of the single partial discharge time series includes:
[0124] A reference signal is set, and the first coherence calculation and the post-shift coherence calculation are performed on the single partial discharge time series. Based on the calculation results of the first coherence calculation and the post-shift coherence calculation, the maximum coherence of each single partial discharge time series is calculated.
[0125] The setting of reference signals includes:
[0126] Set a single partial discharge time series corresponding to any partial discharge sensor as a reference signal.
[0127] The initial coherence calculation for the single partial discharge time series includes:
[0128] Select any single partial discharge time series except the reference signal in the single partial discharge time series, and perform one coherence calculation with the reference signal.
[0129] The smoothing decoherence calculation unit 203 is also used for:
[0130] After the first coherence calculation is performed on the single partial discharge time series, a smoothing shift process is performed on the single partial discharge time series corresponding to each partial discharge sensor except for the reference signal.
[0131] The process includes smoothing and shifting the time series of a single partial discharge corresponding to each partial discharge sensor, including:
[0132] For each partial discharge sensor, the time series data of a single partial discharge is shifted to the right by one step.
[0133] When moving to the right, the last data is stored at the first position.
[0134] The coherence calculation of the single partial discharge time series after shifting includes:
[0135] Select any single partial discharge time series other than the reference signal from the single partial discharge time series, and perform coherence calculation with the reference signal.
[0136] The identification of a single partial discharge time sequence of the target power equipment based on the calculation results includes:
[0137] Based on the calculation results, the coherence of a single partial discharge time series is judged, and based on the judgment results, the location of partial discharge noise of the target power equipment is identified in a cross shape.
[0138] The determination of the coherence of a single partial discharge time series includes:
[0139] When the maximum coherence of a single partial discharge time series RX i,max When ≥0.85, it is determined that the corresponding ith partial discharge sensor and the partial discharge sensor corresponding to the reference signal have the same type of single partial discharge and are recorded as RX i,0 =1, when RX i,max <0.85, it is determined that the corresponding ith partial discharge sensor has nothing to do with the single partial discharge of the partial discharge sensor corresponding to the reference signal, and is recorded as RX i,0 =0.
[0140] Among these methods, the location of partial discharge noise in the target power equipment is identified in a cross shape, including:
[0141] When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 =1, and the out-of-phase partial discharge sensor RX i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is a single partial discharge signal inside the equipment;
[0142] When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 =0, and the out-of-phase partial discharge sensor RX i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is a single partial discharge signal inside the equipment or a noise signal outside the equipment;
[0143] When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 =0, and the out-of-phase partial discharge sensor RX i,0 =1, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is an external noise signal of the equipment.
[0144] This invention can perform noise assessment on each discharge signal and eliminate noise interference.
[0145] Example 3:
[0146] 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 may be 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, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of the method in the above embodiment.
[0147] Example 4:
[0148] Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. 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 embodiments.
[0149] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.
[0150] 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 flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to 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 flowcharts and / or block diagrams. 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.
[0151] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, 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 The function specified in one or more boxes.
[0152] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.
[0153] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional 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.
[0154] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.
Claims
1. A method for cross-shaped recognition of smoothed deallocation noise based on real-time signals, characterized in that: include: Based on multiple partial discharge sensors, multiple sampling points of the target power equipment are monitored to obtain a single partial discharge signal of the target power equipment; Generate a corresponding single partial discharge time series according to the single partial discharge signal obtained by each partial discharge sensor; A smoothing deallocation calculation is performed on the single partial discharge time series, and a cross-shaped identification is performed on the single 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 and dealongering calculation on the single partial discharge time series comprises: A reference signal is set, and the first coherence calculation and the shifted coherence calculation are performed on the single partial discharge time series. According to the calculation results of the first coherence calculation and the shifted coherence calculation, the maximum coherence of each single partial discharge time series is calculated.
3. The method for identifying smoothed deallocation noise according to claim 2, characterized in that: The setting of the reference signal comprises: A single partial discharge time series corresponding to any partial discharge sensor is set as a reference signal.
4. The method for identifying smoothed deallocation noise according to claim 2, characterized in that: The first coherence calculation of the single partial discharge time series comprises: Select any single partial discharge time series except the reference signal in the single partial discharge time series, and perform one coherence calculation with the reference signal.
5. The method for identifying smoothed deallocation noise according to claim 2, characterized in that: The method further comprises: After the first coherence calculation is performed on the single partial discharge time series, a smoothing shift process is performed on the single partial discharge time series corresponding to each partial discharge sensor except for the reference signal.
6. The method for identifying smoothed deallocation noise according to claim 5, characterized in that: The smoothing shift processing of the single partial discharge time series corresponding to each partial discharge sensor includes: For the single partial discharge time series data corresponding to each partial discharge sensor, the data position is shifted to the right 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 is performed on the single partial discharge time series, including: Select any single local discharge time series except the reference signal in the single local discharge time series, and perform coherence calculation with the reference signal.
8. The method for identifying smoothed deallocation noise according to claim 1, characterized in that: The identifying, according to the calculation result, a single partial discharge time series of the target power equipment comprises: According to the calculation result, the coherence of the single partial discharge time series is judged, and based on the judgment result, the partial discharge noise position of the target power equipment is cross-identified.
9. The method for identifying smoothed deallocation noise according to claim 8, characterized in that: The determining of the coherence of a single partial discharge time series includes: When the maximum coherence of a single partial discharge time series RX i,max ≥0.85, it is determined that the corresponding ith partial discharge sensor has the same type of single partial discharge as the partial discharge sensor corresponding to the reference signal, and is recorded as RX i,0 =1, when RX i,max <0.85, it is determined that the corresponding ith partial discharge sensor is independent of the single partial discharge of the partial discharge sensor corresponding to the reference signal, and is recorded as RX 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: When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 =1, and out-of-phase partial discharge sensor RX i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is a single partial discharge signal inside the equipment; When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 = 0, and the out-of-phase partial discharge sensor RX i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is a single partial discharge signal inside the equipment or a noise signal outside the equipment; When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 = 0, and the out-of-phase partial discharge sensor RX i,0 =1, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is an external noise signal of the equipment.
11. A smoothed deallocation noise recognition system based on real-time signals, characterized in that: include: A signal acquisition unit, used to monitor multiple sampling points of a target power device based on multiple partial discharge sensors to obtain a single partial discharge signal of the target power device; A signal processing unit, used for generating a corresponding single partial discharge time series according to the single partial discharge signal obtained by each partial discharge sensor; The smoothing dealcoherence calculation unit is used to perform smoothing dealcoherence calculation on the single partial discharge time series, and perform cross-shaped identification on the single 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 and dealongering calculation on the single partial discharge time series comprises: A reference signal is set, and the first coherence calculation and the shifted coherence calculation are performed on the single partial discharge time series. According to the calculation results of the first coherence calculation and the shifted coherence calculation, the maximum coherence of each single partial discharge time series is calculated.
13. The smoothed deallocation noise identification system according to claim 12, characterized in that: The setting of the reference signal comprises: A single partial discharge time series corresponding to any partial discharge sensor is set as a reference signal.
14. The smoothed deallocation noise identification system according to claim 12, characterized in that: The first coherence calculation of the single partial discharge time series comprises: Select any single partial discharge time series except the reference signal in the single partial discharge time series, and perform one coherence calculation with the reference signal.
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 first coherence calculation is performed on the single partial discharge time series, a smoothing shift process is performed on the single partial discharge time series corresponding to each partial discharge sensor except for the reference signal.
16. The smoothed dealcoherence noise identification system according to claim 15, characterized in that: The smoothing shift processing of the single partial discharge time series corresponding to each partial discharge sensor includes: For the single partial discharge time series data corresponding to each partial discharge sensor, the data position is shifted to the right 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 is performed on the single partial discharge time series, including: Select any single local discharge time series except the reference signal in the single local discharge time series, and perform coherence calculation with the reference signal.
18. The smoothed deallocation noise identification system according to claim 11, characterized in that: The identifying, according to the calculation result, a single partial discharge time series of the target power equipment comprises: According to the calculation result, the coherence of the single partial discharge time series is judged, and based on the judgment result, the partial discharge noise position of the target power equipment is cross-identified.
19. The smoothed deallocation noise identification system according to claim 8, characterized in that: The determining of the coherence of a single partial discharge time series includes: When the maximum coherence of a single partial discharge time series RX i,max ≥0.85, it is determined that the corresponding ith partial discharge sensor has the same type of single partial discharge as the partial discharge sensor corresponding to the reference signal, and is recorded as RX i,0 =1, when RX i,max <0.85, it is determined that the corresponding ith partial discharge sensor is independent of the single partial discharge of the partial discharge sensor corresponding to the reference signal, and is recorded as RX 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: When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 =1, and out-of-phase partial discharge sensor RX i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is a single partial discharge signal inside the equipment; When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 = 0, and the out-of-phase partial discharge sensor RX i,0 =0, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal is a single partial discharge signal inside the equipment or a noise signal outside the equipment; When the partial discharge sensor RX has the same phase as the partial discharge sensor corresponding to the reference signal i,0 = 0, and the out-of-phase partial discharge sensor RX i,0 =1, it is determined that the partial discharge signal received by the partial discharge sensor corresponding to the reference signal 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.