Machinery fault diagnosis expert system for high voltage circuit breaker

Abstract

Targeting at the characteristics of machinery vibration signals,coil current and contact states that can reflect actuator's fault information of high voltage circuit breaker(HVCB),and making full use of signal feature extraction method and the advantages of using the expert system to carry out identify fault type,a method based on multi-parameter rule-based reasoning to diagnose fault for HVCB is proposed.Firstly,the operating process of HVCB was analyzed,and some available information was extracted from coil currents and machinery vibration signals.Secondly,the system reasoning agency and diagnostic principles were analyzed in detail.Finally,a fault diagnosis expert system based on rule for HVCB was designed with the relationship between feature parameters and the station of breakers.The experimentation shows that the knowledge acquisition method can effectively extract the signal features,and the expert system is effective to diagnose the fault types of HVCB.