A Modified EEMD Decomposition for the Detection of Rolling Bearing Faults

Abstract:

The vibration signals of rolling element bearings are non-linear and non-stationary and the corresponding fault features are difficult to be extracted. EEMD (Ensemble empirical mode decomposition) is effective to detect bearing faults. In the present investigation, MEEMD (Modified EEMD) is presented to diagnose the outer and inner race faults of bearings. The original vibration signals are analyzed using IMFs (intrinsic mode functions) extracted by MEEMD decomposition and Hilbert spectrum in the proposed method. The numerical and experimental results of the comparison between MEEMD and EEMD indicate that the proposed method is more effective to extract the fault features of outer and inner race of bearings than EEMD.

• Periodical: Applied Mechanics and Materials (Volumes 548-549)
• Pages: 369-373
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.548-549.369
• Online since: April 2014
• Authors: Yuan Cheng Shi, Yong Ying Jiang, Hai Feng Gao, Jia Wei Xiang*
• Keywords: Envelope Spectrum, Fault Diagnosis, Modified Ensemble Empirical Mode Decomposition, Rolling Bearing

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