Mechanical Fault Diagnosis Based on Local Mean Decomposition Method
With the effect of periodical impulses, most machinery fault vibration signals are muticomponent modulation signals. The effective decomposition approach is the key to demodulate signals and extract fault characteristics. Local mean decomposition (LMD) is a new kind of time frequency analysis approach, which can decompose the signals adaptively into a set of product function (PF) components. The envelope of PF is the instantaneous amplitude and instantaneous frequency can be calculated by the derivative of the unwrapped phase of modulation signal with uniform amplitude. The method bypasses the Hilbert transform totally. Therefore, it involves no question about negative frequency of no physical meaning. Through the successful mechanical fault diagnosis examples, it shows that LMD has high theoretical value and engineering practicability.
Modulation signal local mean decomposition Fault diagnosis
Baojia Chen Xuefeng Chen Zhengjia He Jiyong Tan
College of Mechanical and Material Engineering China Three Gorges University Yichang,443002,China State Key Laboratory for Manufacturing Systems Engineering,Xian Jiaotong University,Xian,710049,Ch
国际会议
长沙
英文
681-684
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）