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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Bibliografische gegevens

Hoofdauteurs:	Donglei Zhang, Jiafang Pan, Tianping Huang, Junlin Niu, Faguo Huang
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2025-04-01
Reeks:	Applied Sciences
Onderwerpen:	fault diagnosis lightweight EfficientNetV2 robustness
Online toegang:	https://www.mdpi.com/2076-3417/15/9/4902
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