Performance comparison of machine learning algorithms for condition monitoring of tapered roller bearings

This paper investigated the implementation of machine learning algorithms for health monitoring and fault detection of tapered roller bearings (TRBs) (30205 J2/Q, 30206 J2/Q and 30207 J2/Q). Three defect models were considered: inner race defect, outer race defect and roller defect, in addition to d...

Full description

Saved in:
Bibliographic Details
Main Authors: Harshal Aher, Nilesh Ghuge
Format: Article
Language:English
Published: Balkan Scientific Centre 2025-06-01
Series:Tribology and Materials
Subjects:
Online Access:https://www.tribomat.net/archive/2025/2025-02/TM-2025-02-05.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!