An Hilbert-Huang Spectrum Technique for Fault Detection in Rolling Element Bearings

摘要

Reliable fault detection in rolling element bearings still remains a challenging task in this R&D field. In this work, a new Hilbert-Huang spectrum (HHS) technique is proposed for bearing fault detection, based on analysis of vibration signal. In the proposed HHS technique, the signal is firstly decomposed into intrinsic mode functions (IMFs) that are determined by empirical mode decomposition method. A novel strategy is proposed based on the analysis of correlation and mutual information to properly select IMFs and enhance feature characteristics for bearing fault detection. The effectiveness of the proposed HHS technique in feature extraction and analysis is verified by a series of experimental tests corresponding to different bearing conditions.