A hybrid approach estimates the real-time health state of a bearing by accelerated degradation tests, Machine learning-Reference-Cited by-同舟云学术

A hybrid approach estimates the real-time health state of a bearing by accelerated degradation tests, Machine learning

Published:2021-12-16 Issue: Volume: Page:
ISSN:
Container-title:2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)
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Author:

Patro Pramoda¹,Azhagumurugan R.²,Sathya R³,Kumar Krishna⁴,Kumar T. Rajasanthosh⁵,Babu M. Vijaya Sekhar⁶

Affiliation:

1. Amrutvahini college of Engineering,Assistant Professor, Department of Engineering science,Sangamner,Maharashtra,India

2. ASSOCIATE PROFESSOR, SRI SAIRAM ENGINEERING COLLEGE,Chennai,Tamilnadu,India

3. Assistant Professor, Rajalakshmi Engineering College,Chennai,Tamilnadu,India

4. MIT Art Design and Technology University,MIT School of engineering,Department of Applied Science and Humanities,Loni Kalbhor,Pune,India

5. Oriental Institute of scince and technology,ASSOCIATE PROFESSOR, Department of Mechanical engineering,Bhopal,India

6. Godavari Institute of Engineering and Technology,Professor, Department of Mechanical engineering,Rajahmundry,Andhra Pradesh - 533296,India

Publisher

IEEE

Link

Reference28 articles.

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