High-voltage circuit breaker characteristic parameter prediction method and system based on multi-source signal fusion

The invention provides a high-voltage circuit breaker characteristic parameter prediction method based on multi-source signal fusion. The method comprises the following steps of judging whether a high-voltage circuit breaker is in a fault state or not, if yes, collecting fault data of the high-voltage circuit breaker at the Tth moment in the fault state, the fault data comprising a vibration signal, a sound signal, a temperature signal, a current signal and operation times; extracting feature vectors of the vibration signal, the sound signal, the temperature signal, the current signal and the number of operation times, dividing the feature vectors into a training set and a to-be-processed data set, taking the training set as the input of a preset deep learning model, and taking the predicted value of the fault data as the output of the deep learning model, performing learning training on the deep learning model; and inputting a to-be-processed data set into the trained deep learning model to obtain a predicte