Fault Diagnosis of Rotating Machinery based on Local Wave Decomposition and Independent Component

摘要：

Local rub-impact is common faults in rotating machinery and results in impact and friction between rotor and stator. The vibration signals due to impact and friction are always non-stationary which includes the rub-impact signal, the background signal and the noise signal. Local wave decomposition (LWD) is based upon the local characteristic time scale of signal and could decompose the complicated signal into a number of intrinsic mode functions (IMFs). However, because the weak rub-impact signal is always submerged in the background and noise signals. The LWD procedure would generate the components redundancy. In order to solve the problem, a novel method combining with independent component analysis (ICA) and LWD is proposed. ICA was introduced into LWD, so that the components are orthogonal to each other and the components redundancy can be removed. In the end, a much better decomposition performances can be obtained. Experimental analysis results show that the proposed method is accurate and efficient.

关键词： local wave decomposition independent component analysis fault diagnosis rotating machinery

作者: Fengli Wang Deyou Zhao

作者单位: College of Marine Engineering,Dalian Maritime University,Dalian 116026,P.R.China School of Ship Engineering,Dalian University of Technology,Dalian 116024,P.R.China

会议类型: 国际会议

会议名称: 2010 International Conference on Material and Manufacturing Technology(2010材料与制造技术国际会议 ICMMT2010)

会议地点: 重庆

会议语种:英文

页码: 301-305

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）