Fault feature extraction for rolling bearings based on OOMP and A-T spectrum

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (21) : 86-90.

XIA Junzhong, ZHENG Jianbo, BAI Yunchuan, L Qipeng, YANG Ganggang

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Abstract

In order to solve problems of orthogonal matching pursuit (OMP)’s over-matching and non-orthogonal projection under variable rotating speed, an optimized orthogonal matching pursuit (OOMP) was proposed.According to characteristics of bearing fault vibration signals, the combined time-frequency atom dictionary was constructed to match OMP.The whale optimization algorithm was introduced into OMP to choose the optimal atom matching residual signals, and realize signal reconstruction and fault feature enhancement.To avoid defects of the order tracking, an angle-time (A-T) spectrum was introduced to extract fault features.The test results showed that the OOMP can effectively enhance bearing fault characteristics; using the A-T spectrum has a good effect on bearing fault feature extraction under variable rotating speed.

Key words

rolling bearing / fault feature enhancement / feature extraction / optimized orthogonal matching pursuit / angle-time spectrum

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XIA Junzhong, ZHENG Jianbo, BAI Yunchuan, L Qipeng, YANG Ganggang. Fault feature extraction for rolling bearings based on OOMP and A-T spectrum[J]. Journal of Vibration and Shock, 2019, 38(21): 86-90

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