会议专题

Research on Fault Tendency Prediction of Complex Equipment Based on Multi-Source Information Fusion

  Aiming at the problem that there is much information and it’s difficult to predict the fault trend for modern complex equipment,the equipment fault trend prediction model which is based on multi-source information fusion is put forward.Based on the analysis of mutual relationship of fusion information source and fusion strategy,the arithmetic of different information fusion and the method of fault trend prediction are researched.An example of the radar transmitter is given and analyzed.The method makes full use of the differences and complementary in performance of the various information sources and makes up for the defect of the single information.It can improve the reliability and precision of fault prediction,which can make the predicted result more scientific and accurate.

fault predication multi-Information fusion evidence theory condition monitoring

Wenhua Hu Ming-Ming Guo Lin Shi

Department of Optics and Electronics Engineering Mechanic Engineering College Shijiazhuang, China

国际会议

2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 3rd International Conference on Maintenance Engineering (2012质量,可靠性,风险,维修性及安全性工程国际会议(QR2MSE 2012 & ICME 2012))

成都

英文

660-663

2012-06-15(万方平台首次上网日期,不代表论文的发表时间)