Roller Bearing Failure Analysis using Gaussian Mixture Models and Convolutional Neural Networks

Author:

Rathore Maan SinghORCID,Harsha S. P.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,Safety, Risk, Reliability and Quality,General Materials Science

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Intelligent Wear Condition Prediction of Ball Bearings Based on Convolutional Neural Networks and Lubricating Oil;Journal of Failure Analysis and Prevention;2024-06-27

2. Underwater propeller fault diagnosis based on deep learning;International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023);2024-02-28

3. Bearing Fault Diagnosis using an Enhanced CBAM-based Multi-Feature Fusion CNN;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19

4. Diagnosing bearing fault location, size, and rotational speed with entropy variables using extreme learning machine;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2023-12-05

5. Fault Diagnostics and Faulty Pattern Analysis of High-Speed Roller Bearings Using Deep Convolutional Neural Network;Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems;2023-05-01

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