Title :
Failure libration model of bearing and its fault diagnosis based on EMD
Author :
Kang Li ; Xuejun Chen ; Xiangjiang Hu ; Hong Shi ; Xiaoke Gao
Author_Institution :
China Satellite Maritime Tracking & Control Dept., Joint Lab. of Ocean-based Flight Vehicle Meas. & Control, Jiangyin, China
Abstract :
Aiming at the problem that the bearings of antenna drive organ on vessel easily occur failure, failure libration model of bearing and its fault diagnosis based on EMD are researched. Failure libration models of the inner circle, outer circle and roll body of the bearing are discussed respectively. Based on the models, fault diagnosis method of bearing based on EMD is presented. First, original libration signal is decomposed using EMD. Decibel value of Hilbert envelope spectrum for each IMF is calculated. Then, Decibel value of Hilbert envelope spectrum at characteristic frequency of bearing is extracted for each IMF, and the maximal decibel value is consequently obtained. Lastly, the state of the bearing is identified by shock pulse method. Experimental results show that the method can diagnose the location and degree of bearing fault.
Keywords :
Hilbert transforms; condition monitoring; failure analysis; fault location; machine bearings; mechanical engineering computing; signal processing; Decibel value; EMD; Hilbert envelope spectrum; antenna drive organ; bearing inner circle; bearing outer circle; bearing roll body; empirical model decomposition; failure libration model; fault diagnosis; fault location; original libration signal decomposition; shock pulse method; Lead; Antennas on Vessel; Bearing; Empirical Model Decomposition;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-4997-0
DOI :
10.1109/ICSESS.2013.6615473