Application of Hilbert-Huang Transform for Gearbox Fault Diagnosis

摘要：

　　FFT and wavelet analysis methods have been widely used for fault diagnosis of gearbox.However,it is often unpractical and difficult for utility in dealing with the non-stationary fault signals.According to the non-stationary characteristics of the vibration signals in gearbox,Hilbert-Huang transform method is adopted for gear fault diagnosis in this article.The method involves two parts,empirical mode decomposition(EMD)and Hilbert transform.At first,the collected time series signal is decomposed into intrinsic mode functions(IMF)with time scales of different characteristic by EMD method,which is suitable for processing non-linear and non-stationary signals.Then the Hilbert transform is executed for the decomposed signals.Thus the fault information can be obtained from the resulted analysis.The diagnostic results on gear pitting fault signal show that the characteristics of gear fault can be effectively extracted by this method.

关键词： Gear Hilbert-Huang Transform Fault Diagnosis Non-stationary Signal EMD

作者: Youfeng LI Dengfeng ZHANG Baochun LU

作者单位: School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing China,210094

会议类型: 国际会议

会议名称: The 5th International Conference on Mechanical Engineering and Mechanics(第五届国际机械工程与力学会议)

会议地点: 江苏扬州

会议语种:英文

页码: 288-293

在线出版日期: 2014-08-21（万方平台首次上网日期，不代表论文的发表时间）