Real-time robust bearing fault detection using scattergram-driven hybrid CNN-SVM
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-023-02162-1.pdf
Reference33 articles.
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3. Ozcan IH, Devecioglu OC, Ince T et al (2022) Enhanced bearing fault detection using multichannel, multilevel 1D CNN classifier. Electr Eng 104:435–447
4. Li W, Mechefske CK (2006) Detection of induction motor faults: comparison of stator current, vibration and acoustic methods. J Vib Control 12(2):165–188
5. Yaman O (2021) An automated faults classification method based on binary pattern and neighborhood component analysis using induction motor. Measurement 168:108323
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