Method for predicting residual mechanical life of contact system of universal circuit breaker based on deep learning

Abstract

The invention relates to a method for predicting residual mechanical life of a universal circuit breaker contact system based on deep learning. The method adopts a deep learning method to carry out life prediction research, and comprises the following steps: firstly, proposing a mechanical life prediction vibration signal effective fragment concept; secondly, introducing a VMD algorithm and double thresholds based on short-time energy to automatically calibrate the interval; constructing a multi-channel convolutional auto-encoder network (MCCAE) again, adopting an unsupervised learning mode for training, and extracting effective fragment deep degradation time sequence features; and finally, constructing a long-short term memory (LSTM) neural network, taking the time sequence characteristics as input, adopting a supervised learning training mode, completing the steps of prediction and the like, and effectively completing the prediction of the residual mechanical life of the contact system of the universal circuit breaker.

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

Images