Research of a new transformer fault diagnosis expert system
In order to improve safety and economy of the power transformer operation,and guide operator deal with transformer abnormal condition,as well as how to find out the fault causes of the malfunction quickly,In this paper,a new power transformer fault diagnosis expert system was established.The system first uses rough set method and expert experience to simplify the knowledge of fault sample database,eliminate redundant information,form refined rules and input them into the knowledge base of the expert system.During the fault reasoning,the diagnosis or corresponding processing scheme are obtained by analyzing the matching between existing quantity of state of the transformer and the rules in the knowledge base.The example analysis shows,this system can effectively guide the working staff.
Rough set Knowledge reduction Interactive matching degree Expert system Inference engine
Minfeng Shao Congming Qiu
China Electric Power Research Institute-China Qingpu Power Supply Company,SMEPC-China
国际会议
上海
英文
1-5
2012-09-05（万方平台首次上网日期，不代表论文的发表时间）