Gear fault diagnosis method based on adaptive ensemble patch transformation

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (11) : 19-26.

PAN Haiyang, YIN Xuelin, ZHENG Jinde, TONG Jinyu

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Abstract

Signal decomposition for ensemble patch transformation(EPT) is prone to modal confusion and parameter inability to adapt, the paper proposes a gear fault diagnosis method based on adaptive ensemble patch transformation (AEPT). In the AEPT process, a number of sampling points are obtained through the extreme value constraint, and the signal is divided locally to achieve signal noise reduction; then, the patch parameters are set in combination with the extreme point period to build an integrated patch structure; finally, through iteration and screening, any nonlinear non-stationary signal is adaptively decomposed into several instantaneous frequency ensemble patch components (EPC) with physical significance. Through the amplitude modulation simulation signal, gear fault simulation signal and gear crack signal, the results show that the AEPT method has obvious advantages in suppressing modal aliasing and robustness, and can effectively diagnose gear fault.

Key words

adaptive ensemble patch transformation / ensemble patch Component / Gears / Troubleshooting

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PAN Haiyang, YIN Xuelin, ZHENG Jinde, TONG Jinyu. Gear fault diagnosis method based on adaptive ensemble patch transformation[J]. Journal of Vibration and Shock, 2023, 42(11): 19-26

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