基于粗糙集和感知器网络的分层递阶变电站故障诊断方法研究
AN APPROACH TO FAULT DIAGNOSIS OF SUBSTATION BASED ON ROUGH SET AND NEURON NET WITH SWITCH FUNCTION
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摘要: 给出了一种基于粗糙集（Rough Set）和具有开关作用函数的感知器网络的分层递阶变电站故障诊断方法．该方法以短路器和保护继电器的开关信息为基础，利用粗糙集处理不确定性信息的能力，分层挖掘变电站故障诊断的知识，然后通过具有开关作用函数的多层感知器网络实现诊断．研究表明该方法是一种有效的在线变电站故障诊断方法．Abstract: An approach to fault diagnosis of substation based on rough set and neuron net switch function is presented. In this method the rough set is adopted to mine hierarchically diagnosis knowledge of substation based on switch information of breakers and relays because of its ability to dispose uncertainty information. Then the diagnosis is implemented through multi-layer neuron net with switch function. It is an effective method online for fault diagnosis of substation.
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