Title :
Health status evaluation of power driveline based on D-S evidential theory
Author :
Zhang Xiaoming ; Liu Jianmin ; Xing Siming ; Zhou Rongxin
Author_Institution :
Dept. of Mech. Eng., Acad. of Armored Force Eng., Beijing, China
Abstract :
Multi-sensors information fusion breaches the localization of single sensor information expression, eliminates redundancy and inconsistency among sensors´ data, so it is propitious to judgment and decision-making. This paper uses D-S evidential theory to fuse information of 12 sensors which are installed on power driveline of a certain vehicle. This method is proved to be effective to reduce the uncertainty of health status evaluation.
Keywords :
automotive engineering; condition monitoring; inference mechanisms; mechanical engineering computing; power transmission (mechanical); sensor fusion; uncertainty handling; D-S evidential theory; Dempster-Shafer theory; multisensor information fusion; power driveline health status evaluation; single sensor information expression; vehicle power driveline; Correlation; Decision making; Diesel engines; Feature extraction; Uncertainty; Vibrations; Wheels; D-S evidential theory; health status; information fusion; power driveline;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5778328
