DocumentCode
2699762
Title
Research on fault tendency prediction of complex equipment based on multi-source information fusion
Author
Hu, Wenhua ; Guo, Ming-Ming ; Shi, Lin
Author_Institution
Dept. of Opt. & Electron. Eng., Mech. Eng. Coll., Shijiazhuang, China
fYear
2012
fDate
15-18 June 2012
Firstpage
661
Lastpage
664
Abstract
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.
Keywords
fault diagnosis; radar signal processing; radar transmitters; sensor fusion; fault tendency prediction; fusion strategy; modern complex equipment; multisource information fusion; radar transmitter; Circuit faults; Condition monitoring; Monitoring; Radar equipment; Reliability; Sensors; condition monitoring; evidence theory; fault predication; multi-Information fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-0786-4
Type
conf
DOI
10.1109/ICQR2MSE.2012.6246319
Filename
6246319
Link To Document