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| Application of the spectrum kurtosis approach based on local mean decomposition to gear fault diagnosis |
| Cheng Jun-sheng , Yang Yi , Yang Yu |
| State key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha 410082, China |
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Abstract Aiming at the nonstationary modulation characteristic of the gear fault vibration signal and the drawback that the filter parameters can’t be defined effectively in traditional resonance-demodulation method, the spectrum kurtosis approach based on local mean decomposition is introduced into gear fault diagnosis. In this approach, firstly LMD method is used to analyzing the gear vibration signal and the time-frequency distribution can be obtained; then, the time-frequency distribution is decomposed into some frequency band by using different scale and the kurtogram can be obtained with calculating the spectrum kurtosis of each frequency band; finally the filtering band can be selected by the max kurtosis and the fault characteristics frequency of the signal can be extracted by envelope analysis for filtered signal. The proposed approach has been applied to simulated signal and gears fault diagnosis. The analysis results show that the spectrum kurtosis approach based on LMD can extract the characteristics of gear fault vibration signals efficiently.
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Received: 30 November 2011
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2012, Vol. 31 
