A Research of Fault Auto-Diagnosis for Rotating Machine Based on the Fuzzy Multiple Attribute Decision-Making
The Fuzzy Multiple Attribute Decision-Making Inferential Modal of fault auto-diagnosis was presented to deal with the failure of rotating machine in which the attribute value is fuzzy completely. Inferential process is as follows: By frequency analysis, the assumptive fault matrix can be get, and the attribute value can be received from computer interface. Based on above results, the decision-making matrix is built. Use entropy to decide additive weight. Take advantage of compromise model to compute the fuzzy distance between every assumptive fault matrix and the fault sample matrix. Finally, the assumptive fault matrix is ranked over again. The fault diagnosis is fulfilled automatically.
fuzzy FMADM auto-diagnosis
Guoan Yang Zhantao Liu Zhenhuan Wu
Plant Diagnosis Engineering Research Center, Beijing University of Chemical Technology, P. O. Box 13 School of Information Science and Technology, Beijing University of Chemical Technology, P. O. Box 6
国际会议
北京
英文
1862-1867
2008-10-27（万方平台首次上网日期，不代表论文的发表时间）