A survey of fault diagnosis technology for electronic circuit based on knowledge technology

摘要：

　　with the rapid development of electronic technology,on-line fault diagnosis of electronic equipment has become a hot research field.After some basic concepts and principles of fault diagnosis are introduced,this paper focuses on the diagnosis method based on knowledge technology,expounds in detail the diagnosis principle and research achievement such as the fault tree,pattern recognition,expert system,neural network,and the rough set.Finally,the new development and the problems of the fault diagnosis technique are summarized,looking to the future development of fault diagnosis technique which is based on Knowledge technology.

关键词： power electronics fault diagnosis knowledge technology neural network expert system

作者: Wu Lifeng Zheng Xueyan Guan Yong Wang Guohui Li Xiaojuan

作者单位: College of Information Engineering, Capital Normal University Beijing, 100048, China;Beijing Engineering Research Center of High Reliable Embedded System, Capital Normal University Beijing, 100048, China;Beijing Key Laboratory of Electronic System Reliability Technology, Capital Normal University Beijing, 100048, China

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 3555-3559

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）