Comparative Analysis of Machine Learning Techniques for Fault Diagnosis of Rolling Element Bearing with Wear Defects

Comparative Analysis of Machine Learning Techniques for Fault Diagnosis of Rolling Element Bearing with Wear Defects

Rolling Element Bearings perform a vital function by ensuring the reliable and efficient operation of machinery in modern industries. Timely and accurate diagnosis of bearing faults is essential for preventing unexpected failures and minimizing downtime. This research addresses these challenges by e...

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Bibliographic Details
Main Authors: Devendra Sahu, Ritesh Kumar Dewangan, Surendra Pal Singh Matharu
Format: Article
Language:English
Published: University of Kragujevac 2025-03-01
Series:Tribology in Industry
Subjects:
rolling element bearing
vibration
naturally occurring wear defect
fault diagnosis
feature extraction
machine learning techniques
Online Access:https://www.tribology.rs/journals/2025/2025-1/2025-1-13.html
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