High-voltage circuit breaker fault diagnosis method and device, equipment and storage medium
By reducing noise and extracting the initial working signal of the high-voltage circuit breaker, combined with fault matching analysis, real-time fault monitoring and diagnosis of the high-voltage circuit breaker is achieved, solving the problems of low efficiency and high cost in traditional maintenance methods.
Patent Information
- Application Number
- CN202510146235.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-10
- Publication Date
- 2025-05-30
AI Technical Summary
In complex working environments, high-voltage circuit breakers are prone to operating failures due to mechanical wear and burning contacts, etc. The traditional regular maintenance method is costly and inefficient, making it difficult to detect potential faults in a timely manner.
A high-voltage circuit breaker fault diagnosis method is proposed. By obtaining the initial working signal, noise reduction, feature extraction and fault matching analysis, the operating status of the high-voltage circuit breaker is monitored in real time and potential faults are discovered in a timely manner.
Real-time fault monitoring and diagnosis of high-voltage circuit breakers is realized, timely and efficiency of fault detection is improved, and maintenance costs are reduced.
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Figure CN120064960A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of high-voltage circuit breaker detection, and particularly to a high-voltage circuit breaker fault diagnosis method and device, equipment, and storage medium. Background Art
[0002] A high-voltage circuit breaker is an important switching device used to control and protect electrical equipment in a power system. It is widely used in power generation, transmission, and distribution systems. Its main function is to cut off or close a high-voltage circuit under normal and abnormal working conditions to ensure the stable operation of the power system and the safety of equipment. The operation of a high-voltage circuit breaker requires it to be able to break or restore high-voltage current in an extremely short time. Especially when faults such as short circuits and overloads occur in the power system, the circuit breaker needs to quickly cut off the current to prevent the expansion of the fault or damage to the equipment.
[0003] With the expansion and complexity of the power system scale, higher requirements are put forward for the reliability and safety of high-voltage circuit breakers. Due to being in a complex working environment for a long time, high-voltage circuit breakers may be affected by factors such as temperature, humidity, and electromagnetic interference, and are prone to problems such as mechanical wear and contact burnout, resulting in operation failures.
[0004] The traditional maintenance method is mainly based on regular maintenance, but this method is costly and inefficient, and it is difficult to detect potential faults in a timely manner. Summary of the Invention
[0005] Based on this, it is necessary to propose a high-voltage circuit breaker fault diagnosis method and device, equipment, and storage medium for the above problems, which are used to monitor the operating state of the high-voltage circuit breaker in real time to timely detect potential faults of the high-voltage circuit breaker.
[0006] To achieve the above object, the first aspect of the present application provides a high-voltage circuit breaker fault diagnosis method, and the method includes:
[0007] Obtain the initial working signal of the high-voltage circuit breaker within a first preset duration, where the first preset duration is the time for the high-voltage circuit breaker to complete one opening or closing operation;
[0008] Perform noise reduction on the initial working signal to obtain a denoised target working signal;
[0009] Extract features according to the target working signal to obtain the signal features when the high-voltage circuit breaker is working;
[0010] Based on the signal features and a preset fault matching table, perform matching analysis to determine the current fault type of the high-voltage circuit breaker, where the fault matching table includes the corresponding relationship between the signal features and the fault types.
[0011] Further, the target working signal after noise reduction is obtained based on the following formula:
[0012]
[0013] In the formula, p is the initial working signal, χ is a preset noise reduction threshold, sgn[] is a rounding function, x and y are preset adjustable parameters, and V(p) is the target working signal after noise reduction.
[0014] Further, extracting signal features from the target working signal to obtain the signal features during the operation of the high-voltage circuit breaker specifically includes:
[0015] Obtain the standard working signal of the high-voltage circuit breaker within the first preset time period when no fault occurs in the high-voltage circuit breaker;
[0016] Based on the target working signal and the standard working signal, make a preliminary judgment to determine whether the high-voltage circuit breaker has a fault;
[0017] When it is confirmed that the high-voltage circuit breaker has a fault, perform feature extraction on the target working signal to obtain the signal features during the operation of the high-voltage circuit breaker.
[0018] Further, making a preliminary judgment based on the target working signal and the standard working signal to determine whether the high-voltage circuit breaker has a fault specifically includes:
[0019] Calculate the signal deviation based on the standard working signal and the target working signal within the first preset time period to obtain the signal deviation value between the standard working signal and the target working signal;
[0020] When the signal deviation value is higher than the preset deviation threshold, it is confirmed that the high-voltage circuit breaker has a fault.
[0021] Further, performing feature extraction on the target working signal to obtain the signal features during the operation of the high-voltage circuit breaker specifically includes:
[0022] Based on the signal deviation value between the standard working signal and the target working signal, perform feature extraction to obtain the signal features during the operation of the high-voltage circuit breaker.
[0023] Further, when the type of the target working signal includes at least two types, then performing feature extraction based on the signal deviation value between the standard working signal and the target working signal to obtain the signal features during the operation of the high-voltage circuit breaker specifically includes:
[0024] Fuse the signal deviation values corresponding to all types of target working signals to obtain the working fusion data of the high-voltage circuit breaker;
[0025] Decompose the work integration data to obtain a decomposition result;
[0026] Calculate the eigenvalue according to the decomposition result to obtain the signal characteristics when the high-voltage circuit breaker is working.
[0027] Further, the work integration data is obtained based on the following formula:
[0028]
[0029] In the formula, h in and h jn are the first fusion component and the second fusion component respectively. The first fusion component and the second fusion component are any value among all the signal deviation values, or any value in the data obtained by performing n - time data fusion on any number of the signal deviation values. η is a preset fusion coefficient.
[0030] To achieve the above object, the second aspect of the present application provides a high-voltage circuit breaker fault diagnosis device, which includes a data acquisition unit, a feature extraction unit, and a fault judgment unit;
[0031] The data acquisition unit is used to obtain the initial working signal of the high-voltage circuit breaker within a first preset time period, and the first preset time period is the time for the high-voltage circuit breaker to complete one opening or closing operation;
[0032] Perform noise reduction on the initial working signal to obtain a denoised target working signal;
[0033] The feature extraction unit is used to extract features according to the target working signal to obtain the signal characteristics when the high-voltage circuit breaker is working;
[0034] The fault judgment unit is used to perform matching analysis based on the signal characteristics and a preset fault matching table to determine the current fault type of the high-voltage circuit breaker. The fault matching table includes the corresponding relationship between the signal characteristics and the fault type.
[0035] To achieve the above object, the third aspect of the present application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor is caused to execute the steps of the method as described in the first aspect.
[0036] To achieve the above object, the fourth aspect of the present application provides a computer device including a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor is caused to execute the steps of the method as described in the first aspect.
[0037] Adopting the embodiments of the present invention has the following beneficial effects:
[0038] An embodiment of the present invention provides a method for diagnosing faults in a high-voltage circuit breaker. The method includes: obtaining an initial working signal of the high-voltage circuit breaker within a first preset time period, where the first preset time period is the time for the high-voltage circuit breaker to complete one opening or closing operation; denoising the initial working signal to obtain a denoised target working signal; extracting features from the target working signal to obtain signal features during the operation of the high-voltage circuit breaker; and performing matching analysis based on the signal features and a preset fault matching table to determine the current fault type of the high-voltage circuit breaker. The fault matching table contains the corresponding relationship between the signal features and the fault types. By monitoring and extracting features from the working signals generated during the operation of the high-voltage circuit breaker, the present invention obtains signal features, so as to determine whether there is a fault in the high-voltage circuit breaker based on the signal features and determine the fault type, thereby discovering the fault situation of the high-voltage circuit breaker in a timely and efficient manner. Description of the Drawings
[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or in the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0040] Among them:
[0041] Figure 1 is a schematic flowchart of the method for diagnosing faults in a high-voltage circuit breaker according to an embodiment of the present invention;
[0042] Figure 2 is a structural block diagram of the device for diagnosing faults in a high-voltage circuit breaker according to an embodiment of the present invention;
[0043] Figure 3 is an internal structure diagram of a computer device according to an embodiment of the present invention. Detailed Embodiments
[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.
[0045] To detect whether a high-voltage circuit breaker is working properly, an embodiment of the present invention provides a method for diagnosing faults in a high-voltage circuit breaker. Please refer to Figure 1 , Figure 1It is a schematic flowchart of the high-voltage circuit breaker fault diagnosis method in the embodiments of the present invention. The method includes:
[0046] Step 110, obtain the initial working signal of the high-voltage circuit breaker within the first preset duration, where the first preset duration is the time for the high-voltage circuit breaker to complete one opening or closing operation.
[0047] The opening and closing operations of the high-voltage circuit breaker are usually completed by a dedicated control system, which can be an electrical control system that uses current as an excitation signal to control the opening and closing operations of the high-voltage circuit breaker. The coil and the iron core are key components for the high-voltage circuit breaker to achieve opening and closing, and play an important role in controlling the operations of the high-voltage circuit breaker. Pass the control current through the coil of the high-voltage circuit breaker. At this time, electromagnetic induction makes the iron core excited, thereby driving the mechanical structure of the high-voltage circuit breaker to complete the opening and closing operations.
[0048] Under normal circumstances, the high-voltage circuit breaker will complete one opening operation or closing operation within the preset time. In the embodiments of the present invention, the first preset duration is used as the time required to complete one opening operation or closing operation, which can be determined according to the actual situation. However, when the high-voltage circuit breaker fails, the time for it to complete the opening operation or closing operation will be extended, and the initial working signal during the operation of the high-voltage circuit breaker will be significantly different from the initial working signal under normal circumstances. Therefore, the embodiments of the present invention monitor the initial working signal within the first preset time for completing the opening operation or closing operation to determine whether the high-voltage circuit breaker fails. For example, the common faults of the high-voltage circuit breaker mainly include power supply voltage faults, closing iron core jamming, excessive iron core stroke, operating mechanism jamming, and auxiliary switch faults, etc. The initial working signal characteristics such as the coil current waveform, power supply voltage, and vibration signal corresponding to these fault types are significantly different, and the relationship between the fault type and the characteristic quantity presents a non-linear characteristic. Therefore, one or more of the initial working signals such as the coil current waveform, power supply voltage, and vibration signal can be monitored to further determine whether the high-voltage circuit breaker has failed.
[0049] In an embodiment of the present invention, acceleration vibration sensors, Hall magnetic balance current sensors, voltage transformers and other devices are respectively installed on the breaking element and the operating mechanism of the high-voltage circuit breaker to monitor and collect the initial operation data of the high-voltage circuit breaker. The sampling frequency of these monitoring and collecting devices can be set according to the actual situation, such as it can be set to 50 Ks / s.
[0050] Step 120, perform noise reduction on the initial working signal to obtain the denoised target working signal.
[0051] Since signals are often interfered by various noises during transmission or acquisition, such as environmental noise, equipment noise, etc. These noises will reduce the signal quality, making it difficult to accurately identify or process the signal. Based on this, before processing and analyzing the working signal, it is necessary to first perform noise reduction on the collected initial working signal to eliminate the gross error data in the signal, making the denoised target working signal clearer, thereby improving the reliability and accuracy of the signal.
[0052] In an embodiment of the present invention, an improved wavelet denoising method can be used to filter the noise in the initial working signal to obtain the denoised target working signal.
[0053] Step 130, perform feature extraction according to the target working signal to obtain the signal features when the high-voltage circuit breaker is working.
[0054] In an embodiment of the present invention, for feature extraction processing of the target working signal, energy decomposition of the target working signal can be selected to obtain the energy features of the target working signal, which can be used as the basis for judging the operating state of the high-voltage circuit breaker.
[0055] Step 140, perform matching analysis based on the signal features and a preset fault matching table to determine the current fault type of the high-voltage circuit breaker. The fault matching table contains the corresponding relationship between the signal features and the fault types.
[0056] In an embodiment of the present invention, a fault matching table containing the corresponding relationship between the signal features and the fault types is preset in advance, so as to perform matching analysis based on the fault matching table and the signal features obtained in step 130 to determine the fault type of the high-voltage circuit breaker.
[0057] The embodiment of the present invention monitors the working signal generated when the high-voltage circuit breaker is working and performs feature extraction to obtain signal features, so as to determine whether there is a fault in the high-voltage circuit breaker and determine the fault type based on the signal features, so as to discover the fault situation of the high-voltage circuit breaker in a timely and efficient manner.
[0058] In an embodiment of the present invention, the denoised target working signal is obtained based on the following formula:
[0059]
[0060] In the formula, p is the initial working signal, χ is the preset denoising threshold, sgn[] is the rounding function, x and y are preset adjustable parameters, and V(p) is the denoised target working signal.
[0061] Specifically, the denoising threshold χ is preset in advance. When the initial working signal is less than the denoising threshold χ, the target working signal V(p) is 0; when the initial working signal is greater than or equal to the denoising threshold χ, the target working signal
[0062] V(p) is where x and y are preset adjustable parameters, x is the trend of the noise reduction threshold function, and y is the degree of influence of the wavelet coefficient.
[0063] In an embodiment of the present invention, in step 130, feature extraction is performed according to the target working signal to obtain the signal features when the high-voltage circuit breaker is operating, specifically including:
[0064] Step310, obtain the standard working signal of the high-voltage circuit breaker within the first preset time period when no fault occurs in the high-voltage circuit breaker.
[0065] When the high-voltage circuit breaker is in an operating state without a fault, the working signal collected during the closing or opening operation of the high-voltage circuit breaker is a standard value. However, when a fault occurs in the high-voltage circuit breaker, such as when the operating mechanism jams and the high-voltage circuit breaker cannot complete the opening operation in time during the opening process, the operating mechanism will continue to be powered and the power grid is also transmitting power. This results in the sensor collecting more working signals, and the difference from the standard working signal is relatively obvious. Therefore, the standard working signal when the high-voltage circuit breaker has no fault is selected to judge the operating state of the high-voltage circuit breaker.
[0066] In an embodiment of the present invention, the standard working signal may be the average value of the working signals collected during multiple experiments in the normal operating state of the high-voltage circuit breaker.
[0067] Step320, make a preliminary judgment according to the target working signal and the standard working signal to determine whether a fault has occurred in the high-voltage circuit breaker.
[0068] In an embodiment of the present invention, by comparing the currently collected target working signal with the standard working signal when the high-voltage circuit breaker has no fault, it is determined whether a fault has occurred in the high-voltage circuit breaker. It can be understood that when the difference between the target working signal and the standard working signal is large, it is considered that a fault has occurred in the high-voltage circuit breaker.
[0069] In an embodiment of the present invention, Step320, make a preliminary judgment according to the target working signal and the standard working signal to determine whether a fault has occurred in the high-voltage circuit breaker, specifically including:
[0070] Step321, calculate the signal deviation based on the standard working signal and the target working signal within the first preset time period to obtain the signal deviation value between the standard working signal and the target working signal.
[0071] In an embodiment of the present invention, based on the noise-reduced target working signal obtained in step 120, a target working signal sequence V within the first preset time period is constructed k , this target working signal sequence V kSorted based on the working signal acquisition time; similarly, a standard working signal sequence within a first preset duration is constructed based on the standard working signals obtained in Step310 This standard working signal sequence Sorted based on the working signal acquisition time.
[0072] It can be understood that since the target working signal and the standard working signal need to be compared, in order to facilitate the comparison, the sampling rates of the target working signal and the standard working signal should be the same. Therefore, the obtained target working signal sequence V k and the standard working signal sequence have the same length and correspond one by one. Based on this, the signal deviation between the two can be calculated based on the target working signal sequence V k and the standard working signal sequence to obtain a signal deviation value.
[0073] In an embodiment of the present invention, the signal deviation value can be calculated by the following formula:
[0074]
[0075] In the formula, h(k) is the signal deviation value corresponding to the target working signal, V k is the target working signal sequence,[[]] is the standard working signal sequence, and m is the total number of target working signals in the target working signal sequence. By calculating the average value of the differences between all target working signals and the corresponding standard working signals, the signal deviation value corresponding to the target working signal is obtained, so as to judge the degree to which the target working signal of the current high-voltage circuit breaker deviates from the standard working signal based on the signal deviation value.
[0076] Step322, when the signal deviation value is higher than the preset deviation threshold, it is confirmed that the high-voltage circuit breaker has a fault.
[0077] In an embodiment of the present invention, a deviation threshold is preset, and the deviation threshold is related to the significance of the working signal data. Based on the deviation threshold and the signal deviation value, a preliminary judgment is made to determine whether the high-voltage circuit breaker has a fault.
[0078] When the signal deviation value is higher than the preset deviation threshold, it is considered that the high-voltage circuit breaker has a fault. At this time, it is necessary to further judge the fault type of the high-voltage circuit breaker.
[0079] Step330, when it is confirmed that the high-voltage circuit breaker has a fault, feature extraction is performed on the target working signal to obtain the signal characteristics when the high-voltage circuit breaker is working.
[0080] Specifically, after obtaining the signal deviation value based on Step321, in Step330, feature extraction is performed on the target working signal to obtain the signal features during the operation of the high-voltage circuit breaker, specifically including:
[0081] Step331, feature extraction is performed based on the signal deviation value between the standard working signal and the target working signal to obtain the signal features during the operation of the high-voltage circuit breaker.
[0082] When the high-voltage circuit breaker performs a tripping operation or a closing operation, various types of working signals will be generated, and these working signals have significant differences under different operating states. In the present invention, the target working signal type includes at least one or more of signal types such as voltage signal, current signal, coil current signal, and vibration signal.
[0083] In an embodiment of the present invention, the target working signal type includes at least two types. At this time, data fusion needs to be performed on the two types of working signals so as to perform fault analysis based on the fused data. Specifically, in Step331, feature extraction is performed based on the signal deviation value between the standard working signal and the target working signal to obtain the signal features during the operation of the high-voltage circuit breaker, specifically including:
[0084] Step3311: Fuse the signal deviation values corresponding to all types of target working signals to obtain the working fusion data of the high-voltage circuit breaker.
[0085] In an embodiment of the present invention, if the target working signal includes two types, the signal deviation values corresponding to the two types of target working signals are fused to obtain the working fusion data.
[0086] In an embodiment of the present invention, if the target working signal includes three types, first, the signal deviation values corresponding to two of the types of target working signals are fused to obtain the working fusion data of the first fusion, and then the working fusion data of the first fusion and the signal deviation values corresponding to the remaining one type of target working signal are fused to obtain the final working fusion data.
[0087] In another embodiment of the present invention, if the target working signal includes four types, the signal deviation values corresponding to the target working signals of types A and B are fused, and the signal deviation values corresponding to the target working signals of types C and D are fused to obtain two working fusion data of the first fusion, and then the two working fusion data of the first fusion are fused to obtain the final working fusion data.
[0088] It can be understood that the target working type may also include five, six, seven, eight, etc., and all can be fused in the above manner to obtain the working fusion data.
[0089] In a feasible embodiment of the present invention, the work fusion data is obtained based on the following formula:
[0090]
[0091] In the formula, h in and h jn are the first fusion component and the second fusion component respectively. The first fusion component and the second fusion component are any value among all signal deviation values, or any value in the data obtained by performing n - time data fusion on any number of signal deviation values. η is a preset fusion coefficient.
[0092] For example, when the target working signal includes two types A and B, the first fusion component h in and the second fusion component h jn are the signal deviation values corresponding to the target working signals of types A and B respectively; when the target working signal includes three types A, B, and C, the first fusion component h in or the second fusion component h jn can be the data obtained by performing one - time data fusion on the signal deviation values corresponding to the target working signals of types A and B; when the target working signal includes four types A, B, C, and D, the first fusion component h in can be the data obtained by performing one - time data fusion on the signal deviation values corresponding to the target working signals of types A and B, and the second fusion component h jn can be the data obtained by performing one - time data fusion on the signal deviation values corresponding to the target working signals of types C and D.
[0093] Step3312: Decompose the work fusion data to obtain a decomposition result.
[0094] In the embodiment of the present invention, the work fusion data can be decomposed by energy decomposition to obtain a decomposition result. Optionally, the work fusion data can be decomposed based on the following formula:
[0095] Q = ∫|Z(t) 2 dt|
[0096] In the formula, Q is the decomposition result, Z(t) is the finally obtained work fusion data; t is the time of work signal acquisition.
[0097] Step3313: Calculate the eigenvalue according to the decomposition result to obtain the signal feature when the high - voltage circuit breaker is working.
[0098] In an embodiment of the present invention, the eigenvalue can be calculated by the following formula:
[0099]
[0100] Wherein, Q is the decomposition result, is the preset standard decomposition result, and θ is the signal feature.
[0101] After obtaining the signal feature θ of the high-voltage circuit breaker during operation, the fault type of the high-voltage circuit breaker can be determined based on the magnitude of the signal feature θ. Specifically, the fault matching table specifically includes the correspondence between the signal feature θ and the fault type. Analyze the currently obtained signal feature θ with the fault matching table to determine the fault type of the current high-voltage circuit breaker.
[0102] In an embodiment of the present invention, the ZF10-110 type circuit breaker is used as the monitoring object to discuss its five common typical faults, including power supply voltage fault, closing iron core jamming, excessive iron core stroke, operating mechanism jamming, and auxiliary switch fault.
[0103] Use the KTC-2000 tester to collect the working data of the five typical faults of the ZF10-110 type circuit breaker, and collect several groups of data for each fault. Randomly select a part of the data from each fault as the training sample, and the other part as the test sample to determine the fault matching table. Refer to Table 1, and Table 1 is the fault matching table of the embodiment of the present invention:
[0104] Table 1 Fault matching table
[0105]
[0106] In the embodiment of the present invention, after initially judging through the signal deviation value and determining that the high-voltage circuit breaker has a fault, the working signal is further subjected to feature extraction to determine the fault type of the high-voltage circuit breaker, so as to improve the fault detection efficiency of the high-voltage circuit breaker.
[0107] In an embodiment of the present invention, a high-voltage circuit breaker fault diagnosis device is proposed. Please refer to Figure 2 , Figure 2 is the structural block diagram of the high-voltage circuit breaker fault diagnosis device in the embodiment of the present invention. The device includes a data acquisition unit 201, a feature extraction unit 202, and a fault judgment unit 203.
[0108] The data acquisition unit 201 is used to obtain the initial working signal of the high-voltage circuit breaker within the first preset time period, and the first preset time period is the time for the high-voltage circuit breaker to complete one opening or closing operation.
[0109] Perform noise reduction on the initial working signal to obtain the denoised target working signal.
[0110] The feature extraction unit 202 is used to perform feature extraction according to the target working signal to obtain the signal feature of the high-voltage circuit breaker during operation.
[0111] A fault judgment unit 203 is configured to perform matching analysis based on signal characteristics and a preset fault matching table to determine the current fault type of the high-voltage circuit breaker. The fault matching table includes the correspondence between signal characteristics and fault types.
[0112] The high-voltage circuit breaker fault diagnosis device proposed in the embodiment of the present invention monitors and extracts signal characteristics from the working signals generated during the operation of the high-voltage circuit breaker, so as to determine whether there is a current fault in the high-voltage circuit breaker and determine the fault type based on the signal characteristics, in order to discover the fault situation of the high-voltage circuit breaker in a timely and efficient manner.
[0113] Figure 3 The internal structure diagram of a computer device in an embodiment of the present invention is shown. The computer device may specifically be a terminal or a system. As Figure 3 shown, the computer device includes a processor, a memory, and a network interface connected through a system bus. Among them, the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor can implement each step in the above method embodiment. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor can execute each step in the above method embodiment. Those skilled in the art can understand that Figure 3 the structure shown is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.
[0114] In one embodiment, a computer device is proposed, including a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor executes each step in the above method embodiment.
[0115] In one embodiment, a computer-readable storage medium is proposed, storing a computer program. When the computer program is executed by the processor, the processor executes each step in the above method embodiment.
[0116] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in this application can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.
[0117] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.
[0118] The above-described embodiments merely represent several implementation manners of this application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of this application. It should be noted that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can still be made, and these all belong to the protection scope of this application. Therefore, the protection scope of the patent of this application should be subject to the appended claims.
Claims
1. A high voltage circuit breaker fault diagnosis method, characterized in that: The method comprises: Acquire an initial working signal of the high-voltage circuit breaker within a first preset time length, where the first preset time length is the time it takes for the high-voltage circuit breaker to complete an opening or closing operation; De-noising the initial working signal to obtain a de-noised target working signal; Perform feature extraction according to the target working signal to obtain signal features when the high-voltage circuit breaker is working; A matching analysis is performed based on the signal characteristics and a preset fault matching table to determine the current fault type of the high-voltage circuit breaker, wherein the fault matching table includes a corresponding relationship between the signal characteristics and the fault type.
2. The method according to claim 1, characterized in that The target working signal after noise reduction is obtained based on the following formula: Wherein, p is the initial working signal, χ is the preset noise reduction threshold, sgn[] is the rounding function, x and y are preset adjustable parameters, and V(p) is the target working signal after noise reduction.
3. The method according to claim 1, characterized in that The feature extraction according to the target working signal to obtain the signal feature of the high-voltage circuit breaker when it is working specifically includes: Acquire a standard working signal of the high-voltage circuit breaker within the first preset time period when no fault occurs in the high-voltage circuit breaker; Performing a preliminary judgment based on the target working signal and the standard working signal to determine whether the high-voltage circuit breaker fails; When it is confirmed that the high-voltage circuit breaker fails, feature extraction is performed on the target working signal to obtain the signal feature of the high-voltage circuit breaker when it is working.
4. The method according to claim 3, characterized in that The performing preliminary judgment according to the target working signal and the standard working signal to determine whether the high-voltage circuit breaker fails specifically includes: Calculating a signal deviation based on the standard working signal and the target working signal within the first preset time period to obtain a signal deviation value between the standard working signal and the target working signal; When the signal deviation value is higher than a preset deviation threshold, it is confirmed that the high-voltage circuit breaker fails.
5. The method according to claim 4, characterized in that The feature extraction of the target working signal to obtain the signal feature of the high-voltage circuit breaker when it is working specifically includes: Feature extraction is performed based on the signal deviation value between the standard working signal and the target working signal to obtain the signal feature of the high-voltage circuit breaker when it is working.
6. The method according to claim 5, characterized in that When the type of the target working signal includes at least two types, the feature extraction based on the signal deviation value between the standard working signal and the target working signal to obtain the signal feature when the high-voltage circuit breaker is working specifically includes: Performing data fusion on the signal deviation values corresponding to all types of target working signals to obtain working fusion data of the high-voltage circuit breaker; Performing data decomposition on the working fusion data to obtain a decomposition result; The characteristic value is calculated according to the decomposition result to obtain the signal characteristics of the high-voltage circuit breaker when it is working.
7. The method according to claim 6, characterized in that The working fusion data is obtained based on the following formula: In the formula, h in and h jn They are respectively the first fusion component and the second fusion component, the first fusion component and the second fusion component are any value among all the signal deviation values, or any value among the data obtained by performing n-times data fusion based on any number of the signal deviation values, and η is a preset fusion coefficient.
8. A high voltage circuit breaker fault diagnosis device, characterized in that: The device comprises a data acquisition unit, a feature extraction unit and a fault judgment unit; The data acquisition unit is used to obtain an initial working signal of the high-voltage circuit breaker within a first preset time period, where the first preset time period is the time it takes for the high-voltage circuit breaker to complete an opening or closing operation; De-noising the initial working signal to obtain a de-noised target working signal; The feature extraction unit is used to extract features according to the target working signal to obtain signal features when the high-voltage circuit breaker is working; The fault judgment unit is used to perform matching analysis based on the signal characteristics and a preset fault matching table to determine the current fault type of the high-voltage circuit breaker, wherein the fault matching table contains the corresponding relationship between the signal characteristics and the fault type.
9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 7.
10. A computer device comprising a memory and a processor, characterized in that: The memory stores a computer program, and when the computer program is executed by the processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 7.