IBAS-SVM Rolling Bearing Fault Diagnosis Method Based on Empirical Modal Characteristics

Author:

Bai Yishuo,Tian Zijian,Chen Wei,Wang Fusong,Guo Jing,He Fangyuan

Publisher

Springer Nature Singapore

Reference11 articles.

1. Chen, Y., Zhang, T., Luo, Z.: A novel rolling bearing fault diagnosis and severity analysis method. Appl. Sci. 9(11), 2356 (2019)

2. Zhou, J., Xiao, M., Niu, Y.: Rolling bearing fault diagnosis based on WGWOA-VMD-SVM. Sensors 22(16), 6281 (2022)

3. Zhang, X., Wang, H., Ren, M.: Rolling bearing fault diagnosis based on multiscale permutation entropy and SOA-SVM. Machines 10(6), 485 (2022)

4. Jiang, X., Li, S.: BAS: beetle antennae search algorithm for optimization problems. Int. J. Robot. Control 1(1), 1–3 (2017)

5. Loparo, K.: Case Western Reserve University Bearing Data Center (2018). https://csegroups.case.edu/bearingdatacenter/pages/welcome-case-western-reserve-university-bearing-data-center-website

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