An Intelligent Model of Circuit Breaker Remote Fault Diagnosis Based on Multi-state Data Fusion
Circuit breaker is an important part of power system.Once the circuit breaker fails,it directly reduces the stability of power system operation.In order to provide valuable reference for the maintenance of circuit breaker,an intelligent model for remote fault diagnosis of circuit breaker based on multi-state data fusion is proposed.According to the operation characteristics of circuit breaker under different fault types,the paper sets the fault diagnosis standard.By fully considering the composition structure and working principle of the circuit breaker,sensors are used to remotely collect the real-time operation data of the circuit breaker.Multi-state data fusion technology is used to process the initial collected data,and the data features are extrac-ted from three aspects:vibration,current and voltage.Through feature matching,the intelligent fault diagnosis result of cir-cuit breaker is obtained.Compared with the traditional model,it is found that the fault diagnosis accuracy rate of the optimal design model is improved by 4.1％,and the timeliness is significantly improved.
multi-state data fusioncircuit breakerequipment failureremote fault diagnosisintelligent diagnosis
万方数据
维普
