Application of Hilbert-Huang Transformation to fault diagnosis of rotary machinery

摘要：

The vibration signal of a rotor bearing system is usually nonlinear and non-stationary. Fourier transform is hard to analyze these signals. A new method based upon empirical mode decomposition (EMD) and Hilbert spectrum is proposed for fault diagnosis of roller bearings. We get vibration signals from 6205-type ball bearings with inner-race faults and with outer-race faults, then analyzing its local Hilbert spectrum and local Hilbert marginal spectrum. Comparing the results with theory value, we can diagnose the fault of rotary machinery fault. In this study, we find that local Hilbert spectrum and local Hilbert marginal spectrum are very useful. Hilbert Transformation is introduced to confirm the HHT method is fit to process nonlinear and non-stationary signals.

关键词： Empirical mode decomposition Intrinsic mode function fault diagnosis Hilbert spectrum

作者: Feng Chen Xiang Zhou Qinghua Wu Tao He Haixia He

作者单位: School of Mechanical Engineering, Hubei Univ. of Technology, China 430068 Hubei Key Lab of Manufacture Quality Engineering, Wuhan China 430068

会议类型: 国际会议

会议名称: 第五届仪器科学与技术国际学术会议(ISIST 2008)Fifth International Symposium on Instrmentation Science and Technology

会议地点: 沈阳

会议语种:英文

页码: 1-7

在线出版日期: 2008-09-15（万方平台首次上网日期，不代表论文的发表时间）