Novel Machine Learning Techniques for Classification of Rolling Bearings

Novel Machine Learning Techniques for Classification of Rolling Bearings

Rolling bearing faults frequently cause rotating equipment failure, leading to costly downtime and maintenance expenses. As a result, researchers have focused on developing effective methods for diagnosing these faults. In this paper, we explore the potential of Machine Learning (ML) techniques for...

Full description

Saved in:
Bibliographic Details
Main Authors: Quynh Nguyen Xuan Phan, Tuan Minh Le, Hieu Minh Tran, Ly van Tran, Son Vu Truong Dao
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
feature selection
grey wolf optimization
machine learning
rolling bearing
Online Access:https://ieeexplore.ieee.org/document/10604807/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10604807/

Similar Items