DEFECT RECOGNITION AND CLASSIFICATION IN ROLLING ELEMENT BEARINGS USING A NOVEL MACHINE LEARNING TECHNIQUE

The rising advancements in Industry 4.0 technologies have made more usual to acquire significant volumes of machine operating data in real time. In response to inconsistent data distribution and label scarcity in target domains, this work suggests a machine learning (ML) approach for rolling element...

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Bibliographic Details
Main Authors: Sneha Kashyap, P. S. Raghavendra Rao, Pavan Chaudhary, Savita Yadav
Format: Article
Language:English
Published: University of Kragujevac 2024-03-01
Series:Proceedings on Engineering Sciences
Subjects:
Online Access:https://pesjournal.net/journal/v6-n1/31.pdf