DocumentCode
3020847
Title
The combination method for dependent evidence and its application for simultaneous faults diagnosis
Author
Jiang, Hai-na ; Xu, Xiao-bin ; Wen, Cheng-lin
Author_Institution
Inst. of Inf. & Control, Hangzhou Dianzi Univ., Hangzhou, China
fYear
2009
fDate
12-15 July 2009
Firstpage
496
Lastpage
501
Abstract
This paper provides a method based on Dezert-Smarandache theory (DSmT) for simultaneous faults diagnosis when evidence is dependent. Firstly, according to the characteristics of simultaneous faults, a frame of discernment is given for both single fault and simultaneous faults diagnosis, the DSmT combination rule applicable to simultaneous faults diagnosis is introduced. Secondly, the dependence of original evidence is classified according to three main factors in information acquisition and extraction, a method for evidence decorrelation is provided. On the other hand, the weights for measuring evidence credibility are given to modify independent evidence based on generalized ambiguity measure. Next, DSmT combination rule is used to aggregate the modified evidence. Finally, an example of rotor faults diagnosis is given to illustrate effectiveness of the proposed method.
Keywords
case-based reasoning; fault diagnosis; Dezert-Smarandache theory combination rule; combination method; dependent evidence; evidence decorrelation; generalized ambiguity measure; information acquisition; information extraction; rotor faults diagnosis; simultaneous faults diagnosis; Aggregates; Decorrelation; Fault diagnosis; Information processing; Intelligent sensors; Pattern analysis; Pattern recognition; Sensor phenomena and characterization; Wavelet analysis; Weight measurement; Basic probability assignment; DSmT; Dependent evidence; Membership function; Simultaneous faults diagnosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3728-3
Electronic_ISBN
978-1-4244-3729-0
Type
conf
DOI
10.1109/ICWAPR.2009.5207476
Filename
5207476
Link To Document