A unique statistical framework to predict the health of a machine by utilizing the vibration features of rolling element bearing data
Rolling element bearings are critical components in machinery that rotates, supporting radial and axial loads while facilitating smooth motion. Bearing malfunctions rank among the most frequent mechanical failures in rotating machinery, resulting in significant downtime and repair costs if not ident...
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| Main Authors: | Saima Bhatti, Fozia Shaikh, Asif Mansoor, Asif Ali Shaikh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Mehran University of Engineering and Technology
2025-07-01
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| Series: | Mehran University Research Journal of Engineering and Technology |
| Subjects: | |
| Online Access: | https://murjet.muet.edu.pk/index.php/home/article/view/166 |
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