A hybrid network TEdgeNeXt for data-limited and resource-constrained fault diagnosis

In the field of intelligent machinery fault diagnosis, overcoming challenges arising from scarce labeled data and the demand for deployment on resource-constrained edge devices is imperative. To address these hurdles, this work aims to improve the ability of deep learning models to learn strong feat...

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Veröffentlicht in:	Journal of vibration and control 2024-07
Hauptverfasser:	Zhang, Chenglong, Qiao, Zijian, Li, Hao, Xu, Xuefang, Ning, Siyuan, Xie, Chongyang
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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