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

被引:0
|
作者
Hu, Wenhua [1 ]
Guo, Ming-Ming [1 ]
Shi, Lin [1 ]
机构
[1] Mech Engn Coll, Dept Opt & Elect Engn, Shijiazhuang, Peoples R China
关键词
fault predication; multi-Information fusion; evidence theory; condition monitoring;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:661 / 664
页数:4
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