Title :
Evidence generating methods in fusion diagnosis of vibration isolation system
Author :
Qing, Liang ; Liyao, Ma ; Chengpeng, Yang ; Xiaolu, Ke ; Yong, Wang
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
Fault diagnosis by fusing information from multi-sources can provide a quicker detection and reduce losses. When using evidence theory to diagnose faults, how to generate appropriate evidence draws much attention. To get proper evidence, features are extracted in both time domain and frequency domain, and evidence generating functions are designed to process features. Use proposed methods to generate evidence from measured data in vibration isolation system and fuse obtained evidence by Dempster´s rule. Results show that both of the two methods proposed in this paper can diagnose faults in time. In comparison, method in time domain has a quicker running speed, while the one in frequency domain behaves better in sustained faults.
Keywords :
case-based reasoning; fault diagnosis; feature extraction; frequency-domain analysis; mechanical engineering computing; sensor fusion; time-domain analysis; vibration isolation; Dempster rule; evidence generating function design; evidence generation methods; evidence theory; fault diagnosis; feature extraction; frequency domain; fusion diagnosis; loss reduction; multisource information fusion; time domain; vibration isolation system; Educational institutions; Fault diagnosis; Feature extraction; Frequency domain analysis; Neural networks; Time domain analysis; Vibrations; Evidence generation; Fault diagnosis; Feature extraction; Frequency domain; Time domain;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3