NDLI: Evidence generating methods in fusion diagnosis of vibration isolation system

Content Provider	IEEE Xplore Digital Library
Author	Liang Qing Ma Liyao Yang Chengpeng Ke Xiaolu Wang Yong
Copyright Year	2012
Description	Author affiliation: Department of Automation, University of Science and Technology of China, Hefei 230027, China (Liang Qing; Ma Liyao; Yang Chengpeng; Ke Xiaolu; Wang Yong)
Abstract	Fault diagnosis by fusing information from multi-sources can provide a quicker detection and reduce losses. When using evidence theory to diagnose faults, how to generate appropriate evidence draws much attention. To get proper evidence, features are extracted in both time domain and frequency domain, and evidence generating functions are designed to process features. Use proposed methods to generate evidence from measured data in vibration isolation system and fuse obtained evidence by Dempster's rule. Results show that both of the two methods proposed in this paper can diagnose faults in time. In comparison, method in time domain has a quicker running speed, while the one in frequency domain behaves better in sustained faults.
Starting Page	5334
Ending Page	5338
File Size	405368
Page Count	5
File Format	PDF
ISBN	9781467325813
ISSN	21612927
e-ISBN	9789881563811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Fault diagnosis Vibrations Frequency domain Neural networks Time domain analysis Time domain Feature extraction Educational institutions Frequency domain analysis Evidence generation
Content Type	Text
Resource Type	Article

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