CNC Machine-Bearing Fault Detection Based on Convolutional Neural Network Using Vibration and Acoustic Signal
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-022-00468-1.pdf
Reference41 articles.
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3. Li Y, Zhao M, Zhou S (2020) Servo axis incipient degradation assessment of CNC machine tools using the built-in encoder. Int J Adv Manuf Technol 106(9):4293–4305
4. Chen ZQ, Li C, Sanchez RV (2016) Gearbox fault identification and classification with convolutional neural networks. Shock Vib 2015:10. https://doi.org/10.1155/2015/390134 (Article ID 390134)
5. Magar R, Ghule L, Li J, Zhao Y, Farimani AB (2021) FaultNet: a deep convolutional neural network for bearing fault classification. IEEE Access 9:25189–25199. https://doi.org/10.1109/ACCESS.2021.3056944
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