会议专题

Research on Data Fusion Fault Diagnosis Method Based on D-S Evidence Theory

D-S evidence theory is an effective method of processing uncertain information. It is widely used in data fusion systems. However, there are two difficulties in the application: evidence conflict and requested computing time of Dempsters arithmetic that is power exponential increasing relation with number of data sources. Starting with the basic conception of D-S evidence theory, we generalize the rule for combining pieces of evidence, find the way to solve the two difficulties, build multi-source data fusion fault diagnosis system based on D-S evidence theory. Results of examples show that the system uses redundant complementary information of multi-source data, it is good to improve the reliability and exact ratio of fault diagnosis, and decrease the uncertainty.

D-S evidence theory fault diagnosis data fusion evidence conflict combination arithmetic

Wu Shengqiang Jiang Wanlu

College of Mechanical Engineering Yanshan University Qinhuangdao,China

国际会议

2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

长沙

英文

689-692

2009-04-11(万方平台首次上网日期,不代表论文的发表时间)