Roller Bearing Failure Analysis using Gaussian Mixture Models and Convolutional Neural Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,Safety, Risk, Reliability and Quality,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s11668-022-01469-8.pdf
Reference38 articles.
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3. F.H. Cakir, A. Sert, O.N. Celik, N. Dereoğlu, Maintenance error detection procedure and a case study of failure analysis locomotive diesel engine bearings. J. Fail. Anal. Prev. 18(2), 356–363 (2018)
4. D. Petersen, C. Howard, Z. Prime, Varying stiffness and load distributions in defective ball bearings: analytical formulation and application to defect size estimation. J. Sound Vib. 337, 284–300 (2015)
5. P.K. Kankar, S.C. Sharma, S.P. Harsha, Fault diagnosis of ball bearings using machine learning methods. Expert Syst. Appl. 38(3), 1876–1886 (2011)
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