Local Mean Decomposition Based Bearing Fault Detection

Abstract:

A novel method of bearing fault diagnosis based on local mean decomposition (LMD) is proposed. LMD method is self-adaptive to non-stationary and non-linear signal. LMD can adaptively decompose the vibration signal into a series of product functions (PFs), which is the product of an envelope signal and a frequency modulated signal. Then the envelope spectrum is applied to the selected product function that stands for the bearing faults. Therefore, the character of the bearing fault can be recognized according to the envelope spectrum of product function. The experimental results show that local mean decomposition based envelope spectrum can effectively detect and diagnose bearing inner and outer race fault under strong background noise condition.

• Periodical: Advanced Materials Research (Volumes 490-495)
• Pages: 360-364
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.490-495.360
• Online since: March 2012
• Authors: Hui Li
• Keywords: Bearing, Fault Detection, Local Mean Decomposition (LMD), Signal Processing, Time Frequency Analysis

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