摘要
To realize multi-signal joint diagnosis in circuit breaker's state evaluation methods,and to improve their evaluation accuracy,we proposed an intelligent evaluation model of circuit breaker mechanical properties based on multiagent system.Taking a circuit breaker which has mono-stable permanent magnetic operating mechanism as the example,its model involves four kinds of signals: auxiliary contact,operating mechanism current,travel of the contact,and mechanical vibration.Detailed analyses on the evaluation agent's architecture and the process of the system's multiagent evaluation and ratiocination were also proposed.Moreover,it is proved by three application cases that the proposed method could accurately evaluate circuit breaker status not only with normal signals,but also in certain signal failure situations;meanwhile the model has a strong self-learning ability.
To realize multi-signal joint diagnosis in circuit breaker's state evaluation methods, and to improve their evaluation accuracy, we proposed an intelligent evaluation model of circuit breaker mechanical properties based on multiagent system. Taking a circuit breaker which has mono-stable permanent magnetic operating mechanism as the example, its model involves four kinds of signals: auxiliary contact, operating mechanism current, travel of the contact, and mechanical vibration. Detailed analyses on the evaluation agent's architecture and the process of the system's multiagent evaluation and ratiocination were also proposed. Moreover, it is proved by three application cases that the proposed method could accurately evaluate circuit breaker status not only with normal signals, hut also in certain signal failure situations; meanwhile the model has a strong self-learning ability.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2013年第4期813-821,共9页
High Voltage Engineering
基金
Project supported by National Natural Science Foundation of China(51177104)