Empirical mode decomposition and complexity measurement of mechanical vibration signals

WANG Zheng-ying;XU Yong-gang;LI Qiang;WANG Tai-yong

Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (1) : 81-83.

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PDF(1091 KB)
Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (1) : 81-83.
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Empirical mode decomposition and complexity measurement of mechanical vibration signals

  • WANG Zheng-ying,XU Yong-gang,LI Qiang,WANG Tai-yong
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Abstract

Aiming at nonstationary property of mechanical vibration signals,Empirical mode decomposition(EMD) can adaptively decompose signals to several intrinsic oscillation modes,and different mode contains different status information of an equipment.By means of approximate entropy(ApEn),the complexity of the original signal and its intrinsic oscillation modes can be quantified,thereby the intrinsic mode comlexity of mechanical vibration signals can be quantitatively evaluated. One can use this method to understand the complex dynamic behavior of rotors ,and monitor the change of running conditions of a mechanical equipment to prevent deterioration of fault.The engineering application results showed that this method can extract the fault information of a mechanical equipment ,and provide an effective technology for condition monitoring and fault diagnosis of a mechanical equipment.

Key words

empirical mode decomposition(EMD) / approximate entropy(Ap En) / comlexity measurement / condition monitoring / fault diagnosis

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WANG Zheng-ying;XU Yong-gang;LI Qiang;WANG Tai-yong. Empirical mode decomposition and complexity measurement of mechanical vibration signals[J]. Journal of Vibration and Shock, 2009, 28(1): 81-83
PDF(1091 KB)

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