A method for predicting the remaining mechanical life of a universal circuit breaker contact system based on deep learning

Abstract

The invention is a method for predicting the remaining mechanical life of a contact system of a universal circuit breaker based on deep learning. This method uses the deep learning method to carry out life prediction research. Firstly, the concept of effective segment of vibration signal for mechanical life prediction is proposed; secondly, VMD algorithm and double threshold based on short-term energy are introduced to automatically calibrate its interval; again, multi-channel convolutional self-encoding is constructed. Machine network (MCCAE), trained by unsupervised learning method, extracts deep degraded temporal features of effective segments; finally builds long short-term memory neural network (LSTM), takes temporal features as input, and uses supervised learning training method to complete prediction and other steps, The remaining mechanical life prediction of the universal circuit breaker contact system can be effectively completed.

Description

technical field [0001] The technical solution of the present invention relates to the technical field of forecasting the remaining life of a contact system of a circuit breaker, specifically a method for predicting the remaining mechanical life of a contact system of a universal circuit breaker based on deep learning. Background technique [0002] As the end of the entire power system, the low-voltage power distribution system is the link closest to the user, and is inseparable from the safety of people's lives and the stable operation of society. As the key power equipment of the low-voltage power distribution system, the universal circuit breaker, on the one hand, as the dispatching control equipment of the power system, implements the input or removal of specific lines according to the operation needs of the power grid, and on the other hand, it plays a protective role in the power system. In the event of a short-circuit fault in the system, the universal circuit breaker ...

AI Technical Summary

Problems solved by technology

At present, according to the life prediction research of universal circuit breaker, it is only on the operation accessories and the opening action mechanism, and the life prediction for the contact system has not yet been carried out.

In addition, the method used is a statistical data-driven method, which often needs to select artificial degradation index methods based on knowledge and experience, the prediction accuracy is not high, and it lacks generalization ability

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