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