DocumentCode :
554089
Title :
Application of D-S evidence theory in equipment fault diagnosis
Author :
Ma Bin ; Wang Di ; Wang Changtao ; Guo Tongying ; Han Zhonghua
Author_Institution :
Inf. & Control Eng. Fac., Shenyang Jianzhu Univ., Shenyang, China
Volume :
3
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
1620
Lastpage :
1623
Abstract :
For the situation that the changes of the state parameters are uncertain in the equipment working process, this would create difficulties for equipment fault diagnosis. In this paper, we utilize the D-S (Dempster-Shafer) evidence theory data fusion algorithm for data processing. The algorithm reflects the great advantages in terms of dealing with uncertain data. It effectively improves the reliability of fault diagnosis, and achieves the detection and diagnosis for equipment operational status.
Keywords :
fault diagnosis; inference mechanisms; machinery; reliability; sensor fusion; D-S evidence theory; Dempster-Shafer evidence theory; data fusion algorithm; data processing; equipment fault diagnosis; equipment working process; reliability; state parameters; Cognition; Fault diagnosis; Fuses; Reliability theory; Sensor fusion; Uncertainty; D-S evidence theory; data fusion; fault diagnosis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
ISSN :
2157-9555
Print_ISBN :
978-1-4244-9950-2
Type :
conf
DOI :
10.1109/ICNC.2011.6022269
Filename :
6022269
Link To Document :
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