The probability models can be used for assist research in fault prediction of high-voltage switchgear circuit breakers,and can predict the fault probability of high-voltage switchgear circuit breakers based on historical fault data and other relevant factors through statistical analysis and machine learning algorithms.The root cause of the most faults in high-voltage switchgear circuit breakers(HVSCB)is the operating mechanism,and the travel curve(TC)can effectively reveal the status of the operating mechanism.This article introduces the impact of common failure modes of HVSCB on the TC profile and proposes a new model assisted method that combines model based and rule based methods to simulate the behavior of operating mechanisms.The HVSCB operating conditions are divided into the three modes based on its operating speeds of the normal(approximately 3 m/s),the fault 1(less than normal range)and the fault 2(greater than normal range).The mode changes of HVSCB have been estimated through Interactive Multiple Models(IMM)in each operation,and the proposed method for predicting faults and causes before they occur has been experimentally validated.
关键词
高压开关柜断路器/状态监测/概率模型辅助/行程曲线
Key words
High-voltage switchgear circuit breaker/Status monitoring/Probability model assistance/Travel curve
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