HFDF-EffNetV2: A Lightweight, Noise-Robust Model for Fault Diagnosis in Rolling Bearings

In rolling bearing intelligent fault diagnosis (FD), lightweight models are constrained by issues such as noise interference and the scarcity of fault data, making it challenging to achieve real-time, high-accuracy diagnosis on resource-limited devices. To address these challenges, this study propos...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Donglei Zhang, Jiafang Pan, Tianping Huang, Junlin Niu, Faguo Huang
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Subjects:	fault diagnosis lightweight EfficientNetV2 robustness
Online Access:	https://www.mdpi.com/2076-3417/15/9/4902