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《Transformer》 2003-10
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Application of Genetic Algorithm and Artificial Neural Net to Transformer Fault Diagnosis

FU Yang 1 ,LAN Zhi-da 2 (1.Shanghai Electric Power Institute,Shanghai200090,China;2.East China Electric Power Test and Research Institute,Shanghai200437,China)  
Based on the artificial neural net and the genetic algorithm,the neural net model for diagnosing transformer faults is founded by DGA.The testing results show the method is effective and feasible.
【Fund】: 上海市科技启明星计划资助(项目编号:沪科技01QF14026)
【CateGory Index】: TM407
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