Rolling Bearing Incipient Fault Detection via Optimized VMD Using Mode Mutual Information
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12555-021-0100-6.pdf
Reference26 articles.
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3. M. Hamadache and D. Lee, “Principal component analysis based signal-to-noise ratio improvement for inchoate faulty signals: Application to ball bearing fault detection,” International Journal of Control, Automation, and Systems, vol. 15, no. 2, pp. 506–517, 2017
4. N. T. Truong, T.-I. Seo, and S. D. Nguyen, “Bearing fault online identification based on ANFIS,” International Journal of Control, Automation, and Systems, vel. 19, pp. 1703–1714, 2021.
5. Y. Xiaoan and J. Minping, “Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection,” Knowledge-based Systems, vol. 163, pp. 450–471, 2019.
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