Fault diagnosis device and method based on multi-agent system and wavelet analysis

A technology of a multi-agent system and a fault diagnosis device, applied in the field of power transmission and transformation, can solve the problems of unsatisfactory Petri net diagnosis performance, poor field maintainability, confusion of expert system reasoning, etc.

Inactive Publication Date: 2012-06-20
NORTHEASTERN UNIV
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Problems solved by technology

[0003] The fault diagnosis method of the expert system uses computer technology to integrate theoretical knowledge and expert experience in related fields, but obtaining a complete knowledge base is the bottleneck of the fault diagnosis expert system, and incomplete knowledge may lead to the inference of the expert system. The fault diagnosis method based on Petri net has the advantages of graphical structure expression, fast reasoning search and mathematical diagnosis process, but its fault tolerance is poor, and it is difficult to identify wrong alarm information. In the case of multiple faults, the diagnostic performance of the Petri net is not ideal; the fault diagnosis method based on the artificial neural network forms a

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  • Fault diagnosis device and method based on multi-agent system and wavelet analysis

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[0086] The present invention will be further described below in conjunction with the drawings and embodiments.

[0087] The invention provides a fault diagnosis device based on a multi-agent system and wavelet analysis, which includes a transformer group, a data acquisition module, a control and human-computer interaction module, a multi-agent system module and a database module. The overall structure is like figure 1 Shown.

[0088] The transformer group adopts active electronic voltage and active current transformers, the current transformer is ALH-0.66 30I 600 / 5, and the voltage transformer is SCT-013-005; it is an unconventional transformer, which is different from the traditional electromagnetic induction type. Compared with the transformer, its advantages are: (1) High and low voltage are completely isolated, with high safety and excellent insulation performance; (2) Without iron core, it eliminates the problems of magnetic saturation and ferromagnetic resonance, and makes m...

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Abstract

The invention discloses a fault diagnosis device and a fault diagnosis method based on a multi-agent system and wavelet analysis. The device comprises a mutual inductor group, a data acquisition module, a control and man-machine interaction module, a multi-agent system module, and a database module. Active electronic voltage and a current transformer are adopted by the mutual inductor group; and the data acquisition module comprises a follower circuit, an amplification circuit, a biasing circuit and an alternate-current/direct-current (A/D) convertor. The control and man-machine interaction module comprises a protocol conversion module, a 485 bus, an Ethernet network cable, and an upper computer. The multi-agent system module comprises a task decomposition agent, a task distribution agent, a diagnosis agent, an assisting agent and a decision-making agent. The running of the device is controlled by a control program, the running state of a primary side of a power grid is displayed in real time, and historical data is called by a database; and the acquired signal is sent to the task decomposition agent, the fault diagnosis result of the decision-making agent is received for alarming, and a user is assisted in making a final decision.

Description

technical field [0001] The invention belongs to the technical field of power transmission and transformation, in particular to a fault diagnosis device and method based on a multi-agent system and wavelet analysis. Background technique [0002] With the improvement of the voltage level of the power grid and the access of distributed power sources, the fault information of the distribution network is becoming more and more complicated; the uncertain faults of the power grid such as the malfunction and refusal of the circuit breaker increase the difficulty of fault diagnosis of the distribution network. difficulty. This has led to the fact that the traditional diagnostic method based on relay protection action information is increasingly unable to achieve satisfactory results. Currently proposed diagnostic methods mainly include expert system method, Petri net, artificial neural network, fuzzy set theory and so on. [0003] The fault diagnosis method of the expert system use...

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Application Information

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IPC IPC(8): G01R31/00
CPCY02B60/44Y02D30/00
Inventor 张化光杨珺孙秋野梁雪马大中刘振伟刘鑫蕊王旭王迎春
Owner NORTHEASTERN UNIV
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