文献类型：期刊文献

英文题名：Study on coupling faults diagnosis of gear rotor system

作者：Cui, Li[1,2]; Shi, Dafang[2]; Zheng, Jianrong[1]; Song, Xiaoguang[1]

机构：[1] School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China; [2] Zhejiang Tianma Bearing Co. LTD, Hangzhou, 310015, China

年份：2013

卷号：281

起止页码：374

外文期刊名：Applied Mechanics and Materials

收录：EI(收录号：20130515979786)

语种：英文

外文关键词：Fault detection - Mathematical transformations - Gears - Manufacture

摘要：Coupling faults diagnose methods of gear rotor system are studied. Moment invariants are extracted from axis orbit of rotor system, which used to identify imbalances, loosening faults. Mode functions with different characteristic time scales are obtained based on the EMD method. Marginal spectrum is obtained by Hilbert transform, which can used to identify the wear faults of gear system. Moment invariant and BP neural network are used to identify the unbalanced fault and loosening faults. Hilbert transform method is used to diagnose gear wear fault. Experiments prove the effective of the methods. ? (2013) Trans Tech Publications, Switzerland.