On fuzzy predictive diagnosis of pump-motor group of oleo-pneumatic drive mechanisms

IO-type oil-based high-voltage circuit breakers are acted by oleo-pneumatic mechanisms (MOP). Pressure recovery circuit of MOP is based on pump-motor group, which presents the highest fault rate of all circuit breaker components. Its failure goes to the impossibility of switching that circuit breaker. Therefore, the predictive diagnosis of pump-motor group is very important for good functioning state of the circuit breaker. In this paper, on-line predictive diagnosis and early detection of the fault tendencies are studied using fuzzy logic. Some expert rules are generated based on the behavior analysis of MOP-type drive mechanism. A fuzzy system for predictive diagnosis is proposed. Also, simulation results are presented.