TY - GEN
T1 - Fault condition prognostic for rotating machinery based on new WEEMD and adaptive boosting regression algorithm
AU - Yao, Pei
AU - Wang, Zhongsheng
AU - Jiang, Hongkai
AU - Liu, Zhenbao
PY - 2013
Y1 - 2013
N2 - This paper addresses a fault condition prognostic for sudden failure of rotating machinery. The proposed method is based on the utilization of feature extraction by using signal processing technique, and adaptive boosting (adaboost) regression algorithm. In this paper, we decompose vibration signal using wavelet packet decomposition and ensemble empirical mode decomposition (WEEMD), and successively we utilize the high order spectrum slice to describe the process of a fault evolution, and finally adaptive boosting regression algorithm is adopted for predicting the fault conditions. Experimental results of rotating machinery show that adaboost regression is pronounced comparing with other regression methods for fault condition prognostics.
AB - This paper addresses a fault condition prognostic for sudden failure of rotating machinery. The proposed method is based on the utilization of feature extraction by using signal processing technique, and adaptive boosting (adaboost) regression algorithm. In this paper, we decompose vibration signal using wavelet packet decomposition and ensemble empirical mode decomposition (WEEMD), and successively we utilize the high order spectrum slice to describe the process of a fault evolution, and finally adaptive boosting regression algorithm is adopted for predicting the fault conditions. Experimental results of rotating machinery show that adaboost regression is pronounced comparing with other regression methods for fault condition prognostics.
KW - Adaptive boosting regression algorithm
KW - Fault condition prognostic
KW - High order spectrum slice
KW - WEEMD
UR - http://www.scopus.com/inward/record.url?scp=84879853392&partnerID=8YFLogxK
U2 - 10.2316/P.2013.799-040
DO - 10.2316/P.2013.799-040
M3 - 会议稿件
AN - SCOPUS:84879853392
SN - 9780889869462
T3 - Proceedings of the 3rd IASTED Asian Conference on Modelling, Identification, and Control, AsiaMIC 2013
SP - 58
EP - 62
BT - Proceedings of the 3rd IASTED Asian Conference on Modelling, Identification, and Control, AsiaMIC 2013
T2 - 3rd IASTED Asian Conference on Modelling, Identification, and Control, AsiaMIC 2013
Y2 - 10 April 2013 through 12 April 2013
ER -