Early bearing fault feature extraction based on CEMP time-frequency features
ZHANG Zhiqiang1, MEI Jianmin2, ZHAO Huimin2, CHANG Chun2, SHEN Hong2
1. Fifth Team of Cadets, Military Transportation University, Tianjin 300161, China；
2. Projecting Equipment Support Department , Military Transportation University, Tianjin 300161, China
Abstract：Aiming at the problem of weak early fault features and coupling of concurrent fault features of transmission bearings, a method based on cascade enhancement of MOMEDA and polar coordinates (CEMP) time-frequency features was proposed to extract early single and concurrent weak fault features of bearings. Teager energy operator of vibration signals was calculated to do first level enhancement of impact component energy. The multi-point optimal minimum entropy deconvolution amendment (MOMEDA) was used to do second level enhancement of impact information of fault feature period. The synchro-squeezing wavelet transform (SWT) was used to map SWT coefficients circularly into polar coordinate graph, and do third level enhancement of impact component of fault feature period in angle domain. The CEMP analysis was conducted for measured bearing signals under working conditions of normal, outer ring faults, inner ring faults and concurrent faults to verify the effectiveness of the proposed method. Results showed that the proposed method can extract weak and early features of single fault and concurrent ones of bearings with a high recognition rate.
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