Fault diagnosis of rolling bearings based on WOA-VMD

Yingying Wang; Zhigang Chen; Zichun Tao

doi:10.1117/12.2679646

18 July 2023 Fault diagnosis of rolling bearings based on WOA-VMD

Yingying Wang, Zhigang Chen, Zichun Tao

Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 127223B (2023) https://doi.org/10.1117/12.2679646
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China

Abstract

VMD (Variational mode decomposition) is a commonly used method for processing rolling bearing fault signals. VMD enables efficient separation of intrinsic modal components and it can match the best center frequency and the appropriate bandwidth range for each mode. It should be noted that the number of modalities and penalty parameters need to be set before execution. We propose an optimization algorithm for VMD based on the Whale Optimization Algorithm (WOA) and then select an iterative formula for the iterative update. The formula is chosen in terms of the magnitude of the convergence factor to output the best VMD parameters. The effectiveness of this method is proved through the processing of the rolling bearing inner ring fault signal.

Citation Download Citation

Yingying Wang, Zhigang Chen, and Zichun Tao "Fault diagnosis of rolling bearings based on WOA-VMD", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 127223B (18 July 2023); https://doi.org/10.1117/12.2679646

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