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
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;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022269