High-voltage circuit breaker mechanical fault diagnosis method based on multi-data fusion technology

Abstract

The invention discloses a high-voltage circuit breaker mechanical fault diagnosis method based on a multi-data fusion technology. A plurality of sensors are mounted on a high-voltage circuit breaker, fault information is acquired by utilizing a data processing algorithm, and by combining typical fault signal feature vectors stored in a fault database, membership degrees that a circuit breaker state belongs to various different typical faults are determined; by introducing a generalized information entropy concept, evidence reliability of each sensor is obtained so as to obtain weighted evidences; and finally, a D-S evidence theory combination rule is adopted to complete fault fusion so as to obtain a decision diagnosis result. According to the high-voltage circuit breaker mechanical fault diagnosis method disclosed by the invention, a weighted evidence theory and the multi-data fusion technology are adopted, not only a result of obtaining each fault membership degree is considered, but also reliability of each evidence is considered, and accuracy of system diagnosis is effectively improved.

Description

technical field [0001] The invention relates to a high-voltage circuit breaker mechanical fault diagnosis method based on multi-data fusion technology, and belongs to the technical field of online monitoring and fault diagnosis. Background technique [0002] With the development of social productivity and the continuous advancement of science and technology, the demand for electricity has also increased dramatically, which puts forward higher requirements for the construction of "strong smart grid". The circuit breaker is a crucial control and protection device in the power system, and it is also the most frequently operated device in the power grid. Therefore, it is of great significance to ensure the safe and reliable operation of circuit breakers. However, according to the traditional planned maintenance method, because the maintenance personnel cannot timely understand the actual operating status of the circuit breaker operating mechanism, the blindness of the operation...

AI Technical Summary

Problems solved by technology

[0005] In the general multi-data fusion method, the reliability of sensors in different fault diagnosis is not considered. However, in the process of information fusion and decision-making, not all evidences have the same credibility. Generally speaking, Some evidence is more convincing than others. In order to obtain the credibility of the evidence, the general method needs to obtain prior knowledge to obtain the credibility of the evidence, but prior knowledge is difficult to obtain, and this method does not need to obtain prior knowledge In addition, in the application of traditional evidence theory methods, there are data conflicts and combination explosions. The method of this patent handles evidence sources by introducing evidence credibility, which helps to a certain extent In order to solve this problem; finally, when assigning the fault membership degree in the multi-data fusion method that generally applies information entropy, only one basic credit allocation unit is considered for one fault type, but in actual situations, there are often several Uncertain fault condition

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