A unique statistical framework to predict the health of a machine by utilizing the vibration features of rolling element bearing data

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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Bibliographic Details
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
Series:Mehran University Research Journal of Engineering and Technology
Subjects:
roller element bearing (reb) healthy bearing(hb) inner race faulty bearing(irfb) outer race faulty bearing(orfb) statistical vibration features root mean square(rms)
Online Access:https://murjet.muet.edu.pk/index.php/home/article/view/166
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