Energy operator demodulating approach based on LMD and its application in extracting the fault characteristics of signal

Ju Ping-hua;Qin Shu-ren;Zhao-lin

Journal of Vibration and Shock ›› 2011, Vol. 30 ›› Issue (2) : 1-4.

PDF(1660 KB)
PDF(1660 KB)
Journal of Vibration and Shock ›› 2011, Vol. 30 ›› Issue (2) : 1-4.
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Energy operator demodulating approach based on LMD and its application in extracting the fault characteristics of signal

  • Ju Ping-hua;Qin Shu-ren; Zhao-lin
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Abstract

Local mean decomposition (LMD) is an effective time-frequency analysis method for decomposing the multi-component AM-FM signal into a number of mono-component AM-FM signals. An energy operator demodulating approach based on LMD is proposed for extracting the characteristics of the faulty signal. LMD is used to decompose the complex multi-component AM-FM signal into a linear combination of a finite number of production functions (PF), then the energy operator demodulation is applied to extract the amplitudes and frequencies of each PF so as to obtain the time-frequency distribution of the faulty signal and extract the fault characteristics. In order to improve the precision of analysis, a data extension method based on trend character of sine function is proposed to overcome end effect. The application results show that the proposed energy operator demodulating approach based on LMD can extract the characteristics of mechanical fault vibration signal effectively.

Key words

mechanical fault diagnosis / AM-FM signal / local mean decomposition / Energy operator demodulating / trend character of sine function

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Ju Ping-hua;Qin Shu-ren;Zhao-lin. Energy operator demodulating approach based on LMD and its application in extracting the fault characteristics of signal[J]. Journal of Vibration and Shock, 2011, 30(2): 1-4
PDF(1660 KB)

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