Research upon Fault Diagnosis Ezpert System Based on Fuzzy Neural Network

摘要：

The traditional Expert System has many shortcomings, for instance, its weak knowledge acquisition capability and empirical knowledges expression uncertainty. To solve these bottleneck problems, A strategy on fault diagnosis expert system which is based upon fuzzy theory and ANN(ANN:artificial neural network) technique is put forward in this paper, as also its principle, construction, algorithm are all presented. Its performance has been proved to be very excellent when used upon the diesel fuel system classified fault diagnosis.

关键词： artificial neural network fuzzy theory ezpert system fault diagnosis simulation

作者: Yang Kun OuYang Guangyao Ye Lina

作者单位: power engineering department naval university of engineering Wuhan, China electronic & electrical engineering department wuhan institute of shipbuilding technology Wuhan, Chi

会议类型: 国际会议

会议名称: 2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)

会议地点: 太原

会议语种:英文

页码: 410-413

在线出版日期: 2009-07-10（万方平台首次上网日期，不代表论文的发表时间）