Intelligent diagnosis method for mechanical fault of circuit breaker

Abstract

The invention discloses an intelligent diagnosis method for a mechanical fault of a circuit breaker. The intelligent diagnosis method for the mechanical fault of the circuit breaker comprises the following steps of (1) building a vibration database of a sample circuit breaker to serve as a training sample which is used for training a support vector machine, wherein the vibration database comprises vibration data of the circuit breaker without faults and vibration data of the circuit breaker with the mechanical fault; (2) collecting a vibration signal of a target circuit breaker, and processing the vibration signal in the mode that an envelope spectrum of the vibration signal is extracted, decomposition is carried out on the envelope spectrum through wavelet transform to extract fault characteristics, and normalization processing is carried out on the fault characteristics to extract fault characteristic vectors; (3) inputting the obtained fault characteristic vectors into the trained support vector machine to carry out fault recognition so as to achieve fault diagnosis. According to the intelligent diagnosis method for the mechanical fault of the circuit breaker, the mechanical fault of the circuit breaker can be effectively diagnosed through the vibration signal and wavelet decomposition, and reliability of the circuit breaker can be effectively improved.

Description

technical field [0001] The invention relates to an intelligent diagnosis method for a mechanical failure of a circuit breaker, which belongs to the failure diagnosis technology. Background technique [0002] The circuit breaker is the most important control and protection equipment in the power system, and it is also the equipment with the most frequent mechanical and electrical actions in the substation. Its safe and reliable operation has important practical significance. However, when there are abnormal conditions such as short circuit in the power system, the circuit breaker will have mechanical failures such as refusal to operate, malfunction, slow operation, and three-phase asynchrony, which will cause vicious accidents and cause immeasurable damage to people's lives and national property. loss. Therefore, it is very important to promptly monitor and diagnose the faults that occur during the operation of the high voltage circuit breaker. A large number of survey data...

AI Technical Summary

Problems solved by technology

However, there are still some problems in the current fault diagnosis method using vibration signals of high-voltage circuit breakers. For example, the algorithm is too complicated and the amount of calculation is too large. The performance of the circuit breaker is poor; the number of operations of the circuit breaker is small, the number of features obtained is small, and the accuracy of system fault diagnosis is reduced, etc.

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