DocumentCode
3244713
Title
Fault diagnosis using neuro-fuzzy network and Dempster-Shafer theory
Author
Wang, Xin ; Xu, Xiao-bin ; Ji, Yin-dong ; Sun, Xin-ya
Author_Institution
Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear
2012
fDate
15-17 July 2012
Firstpage
137
Lastpage
147
Abstract
This paper focuses on fault diagnosis using neuro-fuzzy network. It is shown that less reliable result may be derived as the network takes no consideration of previous state information in online fault diagnosis. To solve this problem, we combine a modified neuro-fuzzy network with the evidence update theory. Besides, a new updating rule that combining the Jeffery-like rule and linear combination rule is given. Simulation shows the effectiveness of this fault diagnosis method.
Keywords
fault diagnosis; fuzzy logic; inference mechanisms; neural nets; Dempster-Shafer Theory; Jeffery-like rule; evidence update theory; linear combination rule; neuro-fuzzy network; online fault diagnosis; updating rule; Fault diagnosis; Fuzzy neural networks; History; Pattern recognition; Real time systems; Wavelet analysis; Evidence update; Fault diagnosis; Jeffery-like rule; Linear combination rule; Neuro-fuzzy network;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
Conference_Location
Xian
ISSN
2158-5695
Print_ISBN
978-1-4673-1534-0
Type
conf
DOI
10.1109/ICWAPR.2012.6294768
Filename
6294768
Link To Document