A Lightweight Fault Diagnosis with Domain Adaptation for Defected Bearings

This paper presents a lightweight fault diagnosis framework for bearing defects, integrating time-frequency analysis, deep learning, and model compression techniques to address challenges in resource-constrained environments. The proposed method combines the S-transform for high-resolution time-freq...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Xufen Jiao, Yixin Zhou, Xuan Liu, Zepeng Ma, Fang Xu
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Subjects:	fault diagnosis lightweight system model compression domain adaptation
Online Access:	https://www.mdpi.com/2076-3417/15/8/4579