Title :
Mechanical Fault Diagnosis Based on Local Mean Decomposition Method
Author :
Chen, Baojia ; Chen, Xuefeng ; He, Zhengjia ; Tan, Jiyong
Author_Institution :
Coll. of Mech. & Mater. Eng., China Three Gorges Univ., Yichang, China
Abstract :
With the effect of periodical impulses, most machinery fault vibration signals are multicomponent 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.
Keywords :
acoustic signal processing; condition monitoring; fault diagnosis; machinery; maintenance engineering; modulation; vibrations; extract fault characteristics; local mean decomposition method; machinery fault vibration signals; mechanical fault diagnosis; modulation signal; muticomponent modulation signals; product function components; time- frequency analysis approach; Amplitude modulation; Demodulation; Fault diagnosis; Feature extraction; Frequency modulation; Machinery; Mechanical variables measurement; Phase modulation; Signal analysis; Vibration measurement; Fault diagnosis; Modulation signal; local mean decomposition;
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
DOI :
10.1109/ICMTMA.2009.373