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作 者:LI Bin LIN Xin XU Jianyuan QI Hongwei ZHANG Bin
机构地区:[1]School of Electrical Engineering,Shenyang University of Technology [2]Liaoning Province Key Lab of Power Grid Safe Operation and Monitoring
出 处:《高电压技术》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)
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.
关 键 词:多AGENT系统 高压断路器 评价方法 机械性能 性能评价模型 永磁操动机构 评估方法 智能断路器
分 类 号:TM561[电气工程—电器] TP18[自动化与计算机技术—控制理论与控制工程]
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