High-voltage circuit breaker mechanical fault diagnosis method

Abstract

The invention discloses a high-voltage circuit breaker mechanical fault diagnosis method. Opening and closing coil current obtained by a high-voltage circuit breaker fault simulation experiment is used as a target data sample for fault diagnosis; data obtained through simulation by establishing an opening and closing coil mathematical model serve as an auxiliary data sample, deep mining and self-adaptive extraction of sample data features are achieved through a deep belief network (DBN), and information matching of the auxiliary data and target data is achieved in combination with a transfer learning method. According to the method, transfer learning and a deep belief network are combined; the deep belief network is utilized to carry out deep mining and self-adaptive extraction on the current time domain signal of the opening and closing coil of the circuit breaker, the transfer learning method is combined to solve the problem that the actual fault training sample data size is small, and the generalization capability of the fault diagnosis model is improved.

Description

technical field [0001] The invention belongs to the technical field of electric engineering, and in particular relates to a method for diagnosing a mechanical fault of a high-voltage circuit breaker. Background technique [0002] Smart grids are inseparable from high-voltage circuit breakers with high reliability, and their operating status will directly affect the stability of the entire power system and the reliability of power supply. As an important content and development direction of high-voltage circuit breaker intelligence, fault diagnosis technology can provide more reliable diagnostic information for condition-based maintenance, prevent equipment failures, and improve maintenance efficiency. [0003] At present, the fault diagnosis of high-voltage circuit breakers mainly includes two parts. First, feature extraction is performed on the signal data of the high-voltage circuit breaker opening and closing coil current, mechanical vibration, and contact displacement, a...

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: In view of the above problems, the present invention proposes a method for diagnosing mechanical faults of high-voltage circuit breakers, which solves the problems of complex feature extraction methods, insufficient characterization of extracted feature quantities and insufficient fault sample data in traditional high-voltage circuit breaker mechanical fault diagnosis. Problems affecting the effect of fault identification

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