Bearing Fault Diagnosis in CNC Machine Using Hybrid Signal Decomposition and Gentle AdaBoost Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-023-00930-8.pdf
Reference62 articles.
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3. Yongbo L, Shubin S, Zhiliang L, Xihui L (2019) Review of local mean decomposition and its application in fault diagnosis of rotating machinery. J Syst Eng Electron 30(4):799–814
4. Goyal, D., Choudhary, A., Pabla, B.S. and Dhami, S.S.,(2019) Support vector machines based non-contact fault diagnosis system for bearings. J Intelligent Manufacturing, 1–15.
5. Mian T, Choudhary A, Fatima S (2022) An efficient diagnosis approach for bearing faults using sound quality metrics. Appl Acoust 195:108839
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