CN114264945A - Equipment state detection method and device - Google Patents
Equipment state detection method and device Download PDFInfo
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- CN114264945A CN114264945A CN202111519628.9A CN202111519628A CN114264945A CN 114264945 A CN114264945 A CN 114264945A CN 202111519628 A CN202111519628 A CN 202111519628A CN 114264945 A CN114264945 A CN 114264945A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract
The invention discloses a method and a device for detecting equipment states, wherein the method comprises the following steps: the method comprises the steps of obtaining vibration signal data of the gas insulated totally-enclosed combined power equipment, dividing the vibration signal data according to a vibration frequency band range and a vibration amplitude to obtain divided vibration signal data, establishing a vibration signal acquisition system based on the divided vibration signal data, constructing a power equipment running state distinguishing system by utilizing the vibration signal acquisition system and combining a plurality of preset calculation models, inputting vibration signal data to be detected into the running state distinguishing system for detection, and obtaining running state information of the equipment corresponding to the vibration signal data to be detected. The invention guarantees the safe and reliable operation of the power system by a detection method of the equipment state.
Description
Technical Field
The present invention relates to the field of detecting device faults, and in particular, to a method and an apparatus for detecting a device status.
Background
A gas insulated totally enclosed switchgear (GIS) uses SF6 as an insulating medium, and uses a metal shell to enclose elements such as a bus, a disconnecting switch, a circuit breaker and the like. The device has the advantages of small volume, convenience and quickness in maintenance, high reliability, long overhaul period and the like, and is widely applied to power systems. With the increase of the GIS availability factor, the failure rate increases. Because GIS equipment's closure, it is difficult to fix a position and discern internal fault for overhaul period is long, and the maintenance cost is high. Therefore, in order to ensure that the power system can operate safely and reliably and reduce the system operation cost, the live detection and the judgment of the equipment operation state have important significance. When the GIS equipment operates, the GIS equipment generates vibration with the fundamental frequency of 100Hz under the action of electromagnetic force of shell induced current in a self magnetic field, shell hysteresis contraction force and contact surface current contraction force. When the equipment has faults, the frequency spectrum of the vibration signal changes along with the equipment and has a certain characteristic value. Statistically, about 80% of GIS faults are mechanical faults and insulation faults. The vibration frequency of mechanical failure caused by loosening of the fastener, damage of elements, mechanical jamming and the like is concentrated on 1000Hz, and the vibration frequency of insulation failure caused by discharge of metal protrusions and vibration of free metal particles is above 2000 Hz. Therefore, the method has feasibility in judging the running state of the equipment according to the vibration signal, is convenient to operate, and cannot influence the running of the equipment.
Currently, modes, models and artificial intelligence are three main fault identification methods. Because the GIS structure is complex, the physical model can not be simulated accurately, and the method is a sampling mode identification method. The unsupervised mode does not need to accumulate corresponding samples, and the unsupervised mode comprises fuzzy C-means clusters l23, kernel fuzzy C-means clusters 24 and the like; the supervised pattern recognition requires the accumulation of prior knowledge of the corresponding samples, including support vector machines, neural networks, and the like.
Therefore, in order to ensure safe and reliable operation of a power system and solve the technical problem that internal faults of the gas-insulated fully-closed combined electrical equipment are difficult to locate and identify due to the sealing performance of the gas-insulated fully-closed combined electrical equipment, a method for detecting the equipment state needs to be constructed.
Disclosure of Invention
The invention provides a method and a device for detecting equipment states, which solve the technical problem that internal faults of equipment are difficult to locate and identify due to the sealing property of gas-insulated fully-closed combined electrical equipment at present.
In a first aspect, the present invention provides a method for detecting a device status, including:
acquiring vibration signal data of the gas insulated totally-enclosed combined power equipment;
dividing the vibration signal data according to the vibration frequency band range and the vibration amplitude to obtain divided vibration signal data;
establishing a vibration signal acquisition system based on the divided vibration signal data;
constructing a power equipment running state distinguishing system by utilizing the vibration signal acquisition system and combining a plurality of preset calculation models;
and inputting vibration signal data to be detected into the operation state judging system for detection to obtain operation state information of equipment corresponding to the vibration signal data to be detected.
Optionally, the constructing a power equipment operating state discrimination system by using the vibration signal acquisition system and combining a plurality of preset calculation models includes:
obtaining vibration signal three-dimensional cloud picture data by using the vibration signal acquisition system;
and establishing the power equipment running state distinguishing system based on the vibration signal three-dimensional cloud picture data and the preset multiple calculation models.
Optionally, obtaining vibration signal three-dimensional cloud image data by using the vibration signal acquisition system includes:
filtering the signal data acquired by the vibration signal acquisition system to obtain filtered signal data;
and constructing the three-dimensional cloud picture data of the vibration signal based on the filtered signal data.
Optionally, establishing the electrical equipment operating state discrimination system based on the vibration signal three-dimensional cloud image data and the preset multiple calculation models, including:
sensitivity analysis is carried out on the vibration signal three-dimensional cloud picture data, and data sensitivity data corresponding to the vibration signal three-dimensional cloud picture data are obtained;
dividing the vibration signal three-dimensional cloud picture data into training data and verification data according to the data sensitivity data;
and obtaining the power equipment running state distinguishing system based on the training data and the verification data and by combining the plurality of preset calculation models.
Optionally, training and verifying a plurality of preset calculation models based on the training data and the verification data to obtain a power equipment operating state discrimination system, including:
inputting the training data into the plurality of preset calculation models, and training to obtain a plurality of trained calculation models;
verifying the trained multiple calculation models by using the verification data to obtain multiple target calculation models;
and establishing the power equipment running state distinguishing system based on the plurality of target calculation models.
In a second aspect, the present invention provides an apparatus for detecting a device status, including:
the acquisition module is used for acquiring vibration signal data of the gas insulated totally-enclosed combined power equipment;
the dividing module is used for dividing the vibration signal data according to the vibration frequency band range and the vibration amplitude to obtain divided vibration signal data;
the establishing module is used for establishing a vibration signal acquisition system based on the divided vibration signal data;
the system module is used for constructing a power equipment running state distinguishing system by utilizing the vibration signal acquisition system and combining a plurality of preset calculation models;
and the detection module is used for inputting vibration signal data to be detected into the operation state judgment system for detection to obtain operation state information of equipment corresponding to the vibration signal data to be detected.
Optionally, the system module comprises:
the construction submodule is used for obtaining vibration signal three-dimensional cloud picture data by utilizing the vibration signal acquisition system;
and the system submodule is used for establishing the electric power equipment running state distinguishing system based on the vibration signal three-dimensional cloud picture data and the preset multiple calculation models.
Optionally, the building submodule comprises:
the filtering unit is used for filtering the signal data acquired by the vibration signal acquisition system to obtain filtered signal data;
and the construction unit is used for constructing the vibration signal three-dimensional cloud picture data based on the filtered signal data.
Optionally, the system sub-module comprises:
the analysis unit is used for carrying out sensitivity analysis on the vibration signal three-dimensional cloud picture data to obtain data sensitivity data corresponding to the vibration signal three-dimensional cloud picture data;
the dividing unit is used for dividing the vibration signal three-dimensional cloud picture data into training data and verification data according to the data sensitivity data;
and the system unit is used for obtaining the electric power equipment running state distinguishing system by combining the plurality of preset calculation models based on the training data and the verification data.
Optionally, the system unit comprises:
the training subunit is used for inputting the training data into the plurality of preset calculation models, and performing training to obtain a plurality of trained calculation models;
the verification subunit is used for verifying the trained multiple calculation models by using the verification data to obtain multiple target calculation models;
and the system subunit is used for establishing the electric power equipment operation state distinguishing system based on the plurality of target calculation models.
According to the technical scheme, the invention has the following advantages: the invention provides a method for detecting equipment state, which comprises the steps of obtaining vibration signal data of gas insulated totally-enclosed combined electrical equipment, dividing the vibration signal data according to a vibration frequency band range and a vibration amplitude value to obtain divided vibration signal data, establishing a vibration signal acquisition system based on the divided vibration signal data, constructing an electrical equipment operation state judgment system by utilizing the vibration signal acquisition system and combining a plurality of preset calculation models, inputting vibration signal data to be detected into the operation state judgment system for detection to obtain operation state information of equipment corresponding to the vibration signal data to be detected, and solving the technical problem that the internal faults of the equipment are difficult to position and identify due to the sealing property of the gas insulated totally-enclosed combined electrical equipment in the prior art through a method for detecting the equipment state, the safe and reliable operation of the power system is guaranteed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a flowchart illustrating a first embodiment of a method for detecting device status according to the present invention;
FIG. 2 is a flowchart illustrating a second embodiment of a method for detecting device status according to the present invention;
FIG. 3 is a block diagram of a vibration signal acquisition system according to the present invention;
FIG. 4 is a schematic diagram of a front panel of a portable case for vibration signal acquisition in a vibration signal acquisition system according to the present invention;
FIG. 5 is a schematic view of a gas insulated fully enclosed combined electrical apparatus equipped with an acceleration sensor according to the present invention;
FIG. 6 is a schematic diagram of a time domain waveform of a screw vibration signal of a transformer according to the present invention;
FIG. 7 is a schematic diagram of a gas insulated fully enclosed combined power plant and test box and evaluation software according to the present invention;
fig. 8 is a block diagram of an embodiment of an apparatus for detecting device status according to the present invention.
Detailed Description
The embodiment of the invention provides a method and a device for detecting the state of equipment, which are used for solving the technical problem that the internal fault of the equipment is difficult to locate and identify due to the sealing property of the gas-insulated fully-closed combined electrical equipment at present.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In a first embodiment, referring to fig. 1, fig. 1 is a flowchart illustrating a first flow step of a first method for detecting a device status according to a first embodiment of the present invention, including:
step S101, obtaining vibration signal data of the gas insulated totally-enclosed combined power equipment;
step S102, dividing the vibration signal data according to the vibration frequency band range and the vibration amplitude to obtain divided vibration signal data;
step S103, establishing a vibration signal acquisition system based on the divided vibration signal data;
step S104, constructing a power equipment running state distinguishing system by utilizing the vibration signal acquisition system and combining a plurality of preset calculation models;
step S105, inputting vibration signal data to be detected into the operation state judging system for detection, and obtaining operation state information of equipment corresponding to the vibration signal data to be detected.
The method for detecting the equipment state provided by the embodiment of the invention comprises the steps of obtaining vibration signal data of gas insulated fully-enclosed combined electrical equipment, dividing the vibration signal data according to a vibration frequency band range and a vibration amplitude value to obtain divided vibration signal data, establishing a vibration signal acquisition system based on the divided vibration signal data, constructing an electrical equipment operation state judgment system by utilizing the vibration signal acquisition system and combining a plurality of preset calculation models, inputting vibration signal data to be detected into the operation state judgment system for detection to obtain operation state information of equipment corresponding to the vibration signal data to be detected, and solving the technical problem that the internal fault of the equipment is difficult to position and identify due to the sealing property of the gas insulated fully-enclosed combined electrical equipment in the prior art through a method for detecting the equipment state, the safe and reliable operation of the power system is guaranteed.
In a second embodiment, referring to fig. 2, fig. 2 is a flowchart illustrating a method for detecting a device status according to the present invention, including:
step S201, obtaining vibration signal data of the gas insulated totally-enclosed combined power equipment;
step S202, dividing the vibration signal data according to the vibration frequency band range and the vibration amplitude to obtain divided vibration signal data;
in the embodiment of the invention, the vibration signal data is divided according to the vibration frequency band range and the vibration amplitude, so that the divided vibration signal data is obtained.
In specific implementation, mode division is carried out according to a vibration frequency band range and divided into normal operation mode data, partial discharge fault mode data and mechanical fault mode data;
and carrying out mode division according to the vibration amplitude, and dividing the mode into normal operation mode data, partial discharge fault mode data and mechanical fault mode data.
Step S203, establishing a vibration signal acquisition system based on the divided vibration signal data;
in the embodiment of the invention, a vibration signal acquisition system is established based on the divided vibration signal data.
In a specific implementation, please refer to fig. 3, fig. 3 is a block diagram of a vibration signal acquisition system according to the present invention; wherein 301 is an acceleration sensor, 302 is a signal conditioning device, 303 is a data acquisition card, 304 is an upper computer, 305 is a signal analysis, 306 is a signal display, 307 is a data storage, 308 is a physical signal, 309 is an analog electrical signal, 310 is an analog electrical signal, and 311 is a digital discrete signal;
referring to fig. 4, fig. 4 is a schematic diagram of a front panel of a portable case for collecting vibration signals in a vibration signal collection system according to the present invention, which includes a 6-channel portable case for collecting vibration signals, and a ks76c.100 acceleration sensor and a NET2991A data collection card are mounted;
referring to fig. 5, fig. 5 is a schematic view of a gas insulated, hermetically sealed combined electrical equipment (GIS) equipped with an acceleration sensor according to the present invention; referring to fig. 6, fig. 6 is a schematic time-domain waveform diagram of a screw vibration signal of a transformer according to the present invention; as shown in fig. 5 and 6, collecting a vibration signal of the GIS device based on a spatial coordinate in an axial scanning manner, and establishing an array data set;
referring to fig. 7, fig. 7 is a schematic diagram of a Gas Insulated Switchgear (GIS), a detection box and evaluation software according to the present invention; as shown in fig. 7, a GIS vibration signal acquisition interactive platform based on LabVIEW is set up to realize multichannel data acquisition control, data storage and signal analysis.
Step S204, obtaining vibration signal three-dimensional cloud picture data by using the vibration signal acquisition system;
it should be noted that the three-dimensional cloud image data of the vibration signal includes a main frequency cloud image and an amplitude mean cloud image.
In an optional embodiment, obtaining vibration signal three-dimensional cloud image data by using the vibration signal acquisition system includes:
filtering the signal data acquired by the vibration signal acquisition system to obtain filtered signal data;
and constructing the three-dimensional cloud picture data of the vibration signal based on the filtered signal data.
In the embodiment of the invention, the signal data acquired by the vibration signal acquisition system is filtered to obtain the filtered signal data, and the vibration signal three-dimensional cloud picture data is constructed based on the filtered signal data.
In the specific implementation, noise reduction and filtering are performed on signal data acquired by a vibration signal acquisition system, signal time-frequency conversion is realized by using FFT (fast Fourier transform), and a main frequency cloud picture and an amplitude mean value cloud picture based on a GIS (geographic information system) shell 3D (three-dimensional) model are established to obtain vibration signal three-dimensional cloud picture data.
Step S205, establishing a system for judging the running state of the electrical equipment based on the vibration signal three-dimensional cloud picture data and a plurality of preset calculation models;
it should be noted that the plurality of target calculation models include a frequency mode image classification calculation model, an amplitude mode image classification calculation model, and a GIS fault location calculation model.
In an optional embodiment, the establishing the electrical equipment operating state discrimination system based on the vibration signal three-dimensional cloud image data and the preset multiple calculation models includes:
sensitivity analysis is carried out on the vibration signal three-dimensional cloud picture data, and data sensitivity data corresponding to the vibration signal three-dimensional cloud picture data are obtained;
dividing the vibration signal three-dimensional cloud picture data into training data and verification data according to the data sensitivity data;
inputting the training data into the plurality of preset calculation models, and training to obtain a plurality of trained calculation models;
verifying the trained multiple calculation models by using the verification data to obtain multiple target calculation models;
and establishing the power equipment running state distinguishing system based on the plurality of target calculation models.
In the embodiment of the invention, sensitivity analysis is carried out on the vibration signal three-dimensional cloud picture data to obtain data sensitivity data corresponding to the vibration signal three-dimensional cloud picture data, the vibration signal three-dimensional cloud picture data are divided into training data and verification data according to the data sensitivity data, the training data are input into the plurality of preset calculation models to be trained to obtain a plurality of trained calculation models, the plurality of trained calculation models are verified by utilizing the verification data to obtain a plurality of target calculation models, and the power equipment operation state distinguishing system is established based on the plurality of target calculation models.
In specific implementation, a frequency mode image classification calculation model based on a residual error neural network Resnet is established;
establishing an amplitude mode image classification calculation model based on Resnet;
establishing a GIS fault positioning calculation model based on target detection fast-rcnn;
carrying out sensitivity evaluation on the obtained data of the data structure under the three modes obtained by dividing the vibration cloud picture, and dividing the data in the obtained data structure into training data and verification data according to the data sensitivity;
training and verifying a preset calculation model based on the training data and the verification data to obtain a target frequency mode image classification calculation model, a target amplitude mode image classification calculation model and a target GIS fault location calculation model;
and establishing a power equipment running state judging system based on the target frequency mode image classification calculation model, the target amplitude mode image classification calculation model and the target GIS fault location calculation model.
Step S206, inputting vibration signal data to be detected into the operation state judging system for detection to obtain operation state information of equipment corresponding to the vibration signal data to be detected;
in the embodiment of the invention, vibration signal data to be detected is input into the operation state judging system, and the operation state information of the equipment corresponding to the vibration signal data to be detected is obtained through detection.
In the specific implementation, vibration signal data to be detected is input into an operation state judging system, the system gives corresponding weight according to the information content contained in the amplitude-frequency characteristic and the correlation with the operation state, and the fault type of equipment is judged based on the data weight, so that the operation state information of the equipment corresponding to the vibration signal data to be detected is obtained.
The running state judging system comprises a vibration signal imaging module, a mode identification module and a state judging module;
the vibration signal imaging module is used for converting the acquired vibration signal data array into a frequency cloud picture and an amplitude cloud picture respectively;
the pattern recognition module is used for respectively setting the equipment running state into a normal running mode, a partial discharge fault mode and a mechanical fault mode according to the frequency and amplitude cloud pictures and completing fault positioning;
and the state judgment module is used for judging the identification mode according to the vibration signal frequency and the amplitude weight so as to realize the judgment of the running state of the equipment.
The method for detecting the equipment state provided by the embodiment of the invention comprises the steps of obtaining vibration signal data of gas insulated fully-enclosed combined electrical equipment, dividing the vibration signal data according to a vibration frequency band range and a vibration amplitude value to obtain divided vibration signal data, establishing a vibration signal acquisition system based on the divided vibration signal data, constructing an electrical equipment operation state judgment system by utilizing the vibration signal acquisition system and combining a plurality of preset calculation models, inputting vibration signal data to be detected into the operation state judgment system for detection to obtain operation state information of equipment corresponding to the vibration signal data to be detected, and solving the technical problem that the internal fault of the equipment is difficult to position and identify due to the sealing property of the gas insulated fully-enclosed combined electrical equipment in the prior art through a method for detecting the equipment state, the safe and reliable operation of the power system is guaranteed.
Referring to fig. 8, fig. 8 is a block diagram of an embodiment of an apparatus for detecting device status according to the present invention, including:
an obtaining module 801, configured to obtain vibration signal data of the gas insulated fully-enclosed combined power equipment;
a dividing module 802, configured to divide the vibration signal data according to a vibration frequency band range and a vibration amplitude, so as to obtain divided vibration signal data;
an establishing module 803, configured to establish a vibration signal acquisition system based on the divided vibration signal data;
the system module 804 is configured to construct an electrical equipment operating state distinguishing system by using the vibration signal acquisition system and combining a plurality of preset calculation models;
the detection module 805 is configured to input vibration signal data to be detected into the operation state determination system for detection, so as to obtain operation state information of the device corresponding to the vibration signal data to be detected.
In an alternative embodiment, the system module 804 includes:
the construction submodule is used for obtaining vibration signal three-dimensional cloud picture data by utilizing the vibration signal acquisition system;
and the system submodule is used for establishing the electric power equipment running state distinguishing system based on the vibration signal three-dimensional cloud picture data and the preset multiple calculation models.
In an alternative embodiment, the building submodule comprises:
the filtering unit is used for filtering the signal data acquired by the vibration signal acquisition system to obtain filtered signal data;
and the construction unit is used for constructing the vibration signal three-dimensional cloud picture data based on the filtered signal data.
In an alternative embodiment, the system submodule includes:
the analysis unit is used for carrying out sensitivity analysis on the vibration signal three-dimensional cloud picture data to obtain data sensitivity data corresponding to the vibration signal three-dimensional cloud picture data;
the dividing unit is used for dividing the vibration signal three-dimensional cloud picture data into training data and verification data according to the data sensitivity data;
and the system unit is used for obtaining the electric power equipment running state distinguishing system by combining the plurality of preset calculation models based on the training data and the verification data.
In an alternative embodiment, the system unit comprises:
the training subunit is used for inputting the training data into the plurality of preset calculation models, and performing training to obtain a plurality of trained calculation models;
the verification subunit is used for verifying the trained multiple calculation models by using the verification data to obtain multiple target calculation models;
and the system subunit is used for establishing the electric power equipment operation state distinguishing system based on the plurality of target calculation models.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the method and apparatus disclosed in the present invention can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a readable storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned readable storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for detecting a device state, comprising:
acquiring vibration signal data of the gas insulated totally-enclosed combined power equipment;
dividing the vibration signal data according to the vibration frequency band range and the vibration amplitude to obtain divided vibration signal data;
establishing a vibration signal acquisition system based on the divided vibration signal data;
constructing a power equipment running state distinguishing system by utilizing the vibration signal acquisition system and combining a plurality of preset calculation models;
and inputting vibration signal data to be detected into the operation state judging system for detection to obtain operation state information of equipment corresponding to the vibration signal data to be detected.
2. The method for detecting the equipment state according to claim 1, wherein the step of constructing a power equipment operation state discrimination system by using the vibration signal acquisition system and combining a plurality of preset calculation models comprises the following steps:
obtaining vibration signal three-dimensional cloud picture data by using the vibration signal acquisition system;
and establishing the power equipment running state distinguishing system based on the vibration signal three-dimensional cloud picture data and the preset multiple calculation models.
3. The method for detecting the equipment state according to claim 2, wherein obtaining vibration signal three-dimensional cloud image data by using the vibration signal acquisition system comprises:
filtering the signal data acquired by the vibration signal acquisition system to obtain filtered signal data;
and constructing the three-dimensional cloud picture data of the vibration signal based on the filtered signal data.
4. The method for detecting the equipment state according to claim 2, wherein the establishing of the electrical equipment operation state discrimination system based on the vibration signal three-dimensional cloud image data and the preset plurality of calculation models comprises:
sensitivity analysis is carried out on the vibration signal three-dimensional cloud picture data, and data sensitivity data corresponding to the vibration signal three-dimensional cloud picture data are obtained;
dividing the vibration signal three-dimensional cloud picture data into training data and verification data according to the data sensitivity data;
and obtaining the power equipment running state distinguishing system based on the training data and the verification data and by combining the plurality of preset calculation models.
5. The method for detecting the equipment state according to claim 4, wherein training and verifying a plurality of preset calculation models based on the training data and the verification data to obtain a power equipment operation state discrimination system comprises:
inputting the training data into the plurality of preset calculation models, and training to obtain a plurality of trained calculation models;
verifying the trained multiple calculation models by using the verification data to obtain multiple target calculation models;
and establishing the power equipment running state distinguishing system based on the plurality of target calculation models.
6. An apparatus for detecting a state of a device, comprising:
the acquisition module is used for acquiring vibration signal data of the gas insulated totally-enclosed combined power equipment;
the dividing module is used for dividing the vibration signal data according to the vibration frequency band range and the vibration amplitude to obtain divided vibration signal data;
the establishing module is used for establishing a vibration signal acquisition system based on the divided vibration signal data;
the system module is used for constructing a power equipment running state distinguishing system by utilizing the vibration signal acquisition system and combining a plurality of preset calculation models;
and the detection module is used for inputting vibration signal data to be detected into the operation state judgment system for detection to obtain operation state information of equipment corresponding to the vibration signal data to be detected.
7. The device status detection apparatus according to claim 6, wherein the system module comprises:
the construction submodule is used for obtaining vibration signal three-dimensional cloud picture data by utilizing the vibration signal acquisition system;
and the system submodule is used for establishing the electric power equipment running state distinguishing system based on the vibration signal three-dimensional cloud picture data and the preset multiple calculation models.
8. The apparatus for detecting the status of a device according to claim 7, wherein the construction submodule comprises:
the filtering unit is used for filtering the signal data acquired by the vibration signal acquisition system to obtain filtered signal data;
and the construction unit is used for constructing the vibration signal three-dimensional cloud picture data based on the filtered signal data.
9. The device status detection apparatus according to claim 7, wherein the system submodule includes:
the analysis unit is used for carrying out sensitivity analysis on the vibration signal three-dimensional cloud picture data to obtain data sensitivity data corresponding to the vibration signal three-dimensional cloud picture data;
the dividing unit is used for dividing the vibration signal three-dimensional cloud picture data into training data and verification data according to the data sensitivity data;
and the system unit is used for obtaining the electric power equipment running state distinguishing system by combining the plurality of preset calculation models based on the training data and the verification data.
10. The device status detection apparatus according to claim 9, wherein the system unit comprises:
the training subunit is used for inputting the training data into the plurality of preset calculation models, and performing training to obtain a plurality of trained calculation models;
the verification subunit is used for verifying the trained multiple calculation models by using the verification data to obtain multiple target calculation models;
and the system subunit is used for establishing the electric power equipment operation state distinguishing system based on the plurality of target calculation models.
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| CN115993504A (en) * | 2023-03-23 | 2023-04-21 | 山东盛日电力集团有限公司 | Intelligent fault diagnosis method and system for electrical equipment |
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