Research on Fault Diagnosis Based on D-S Evidential Reasoning

摘要：

For the reasons of low fault diagnosis accuracy of traditional diagnosis methods, a fault diagnosis method fusing BP neural Network and multi-sensor information fusion technique based on D-S evidence theory was presented to realize fault diagnosis.On the base of integrated neural network, importing evidential reasoning,a fault diagnosis technique which combine neural network and D-S evidential reasoning (NN -DS diagnostic technique) is proposed. It uses BP neural network local diagnosis respectively from different symptom field, and each network receives respective result,then D-S evidential reasoning w ill be used for global diagnosis to gain a unified result At last an ezemple is given to indicate its validity.

关键词： D-S evidence theory neural Network fault diagnosis multi-sensor information fusion

作者: Wang Na Liang Yu Zhu He

作者单位: School of Information Engineering,Shenyang University of Chemical Technology Shenyang University of School of Information Engineering,Shenyang University of Chemical Technology Shenyang,China Construction Engineering Institute,Northeast Dianli University Jilin, China

会议类型: 国际会议

会议名称: 2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

会议地点: 深圳

会议语种:英文

页码: 692-695

在线出版日期: 2011-03-28（万方平台首次上网日期，不代表论文的发表时间）