Bearing Fault Detection Based on SVD And EMD

摘要：

　　While beating fault signals are strongly interferenced by noise,diagnosis using EMD directly for bearings fault becomes incorrect.A scheme based on Singular Value Decomposition(SVD) and Empirical Mode Decomposition(EMD) is proposed for solving this problem.Aiming at bearing fault signal characteristics,SVD preprocesses sampled signals to denoise.Then preprocessed signals are analyzed by EMD.Fault characteristic firequency can be obtained by spectrum analysis for Intrinsic Mode Functions(IMFs).This method is useful to detect fault of bearings and a comparison is made between it and EMD.The results show that this scheme can diagnose fault correctly under strong noise.

关键词： Singular Value Decomposition(SVD) Empirical Mode Decomposition(EMD) faultdiagnosis weak signal

作者: Yanlong Chen Peilin Zhang

作者单位: First Department, Ordnance Engineering College, Shijiazhuang, China

会议类型: 国际会议

会议名称: the 2012 International Conference on Frontiers of Mechanical Engineering and Materials Engineering (机械工程与材料工程国际会议())

会议地点: 香港

会议语种:英文

页码: 70-74

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）