Ensemble Empirical Mode Decomposition for Machine Health Diagnosis

Abstract:

Ensemble Empirical Mode Decomposition (EEMD) is a new signal processing technique aimed at solving the problem of mode mixing present in the original Empirical Mode Decomposition (EMD) algorithm. This paper investigates its utility for machine health monitoring and defect diagnosis. The mechanism of EEMD is first introduced. Parameters that affect effectiveness of the EEMD are then discussed with the assistance of a simulated signal in which the mode mixing exists. Experimental study on bearing vibration signal analysis verified its effectiveness of EEMD for machine health monitoring and defect diagnosis.

• Periodical: Key Engineering Materials (Volumes 413-414)
• Pages: 167-174
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.413-414.167
• Online since: June 2009
• Authors: Jian Zhang, Ru Qiang Yan, Robert X. Gao
• Keywords: Empirical Mode Decomposition (EMD), Ensemble Empirical Mode Decomposition, Hilbert-Huang Transform (HHT), Mode Mixing, Vibration Signal

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