Intelligent evaluation method for life cycle of high-voltage circuit breaker based on deep belief network

The invention discloses an intelligent evaluation method for the life cycle of a high-voltage circuit breaker based on a deep belief network. The method comprises the following steps: S1, obtaining historical maintenance data and environment information of a plurality of high-voltage circuit breakers of the same model as detection data; S2, setting a fault source, performing multiple switching-on and switching-off actions on the high-voltage circuit breakers of the same model until a fault occurs, performing periodic data detection on the high-voltage circuit breakers in the process, and taking the detected data as fault reference data. According to the invention, intelligent evaluation of the life cycle of the high-voltage circuit breaker is realized by collecting the maintenance data and the environment information of the high-voltage circuit breaker and combining the deep belief network algorithm, so that the service life of the high-voltage circuit breaker can be evaluated more accurately, and the high-vo