Research on motor bearing fault diagnosis based on BO-PCA-BiLSTM

Yongwei Liu; Yuan Xie; Fangyuan Lv; Wenxian Yang

doi:10.1117/12.3025985

15 March 2024 Research on motor bearing fault diagnosis based on BO-PCA-BiLSTM

Yongwei Liu, Yuan Xie, Fangyuan Lv, Wenxian Yang

Proceedings Volume 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023); 130750S (2024) https://doi.org/10.1117/12.3025985
Event: Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 2023, Kunming, China

Abstract

Motor bearing fault is one of the common problems in motor equipment, and it is very important to accurately identify the type of fault to ensure the smooth operation of the equipment. However, the traditional fault diagnosis methods are often limited by noise interference and difficulty in feature extraction, which leads to low diagnostic accuracy. In order to improve the fault diagnosis rate of motor bearing, a method combining Bayesian optimization, PCA and BiLSTM is proposed to optimize the performance of the neural network model. First, the hyperparameters are optimized by Bayesian optimization, then the dimensionality is reduced by PCA algorithm to extract main features, filter noise and redundant information, and finally the fault features are classified and diagnosed by BiLSTM. Experimental results demonstrate that this method can effectively enhance the accuracy of motor bearing fault diagnosis and finally the accuracy of the test set reaches 99.07%, showing good robustness.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yongwei Liu, Yuan Xie, Fangyuan Lv, and Wenxian Yang "Research on motor bearing fault diagnosis based on BO-PCA-BiLSTM", Proc. SPIE 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 130750S (15 March 2024); https://doi.org/10.1117/12.3025985

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KEYWORDS

Data modeling

Principal component analysis

Mathematical optimization

Feature extraction

Diagnostics

Performance modeling

Data processing

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