A Universal Domain Adaptation Method With Cluster Matching for Machinery Fault Diagnosis

Fault diagnosis is crucial in the Industrial Internet of Things (IIoT), but unknown fault types lead to out-of-distribution (OOD) problems, making label prediction challenging. Various domain adaptation (DA) methods often rely heavily on prior knowledge of the target domain. This paper proposes a un...

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Veröffentlicht in:	IEEE internet of things journal 2024-11, p.1-1
Hauptverfasser:	Lin, Fanwei, Guo, Chang, Zhao, Zhibin, Zhang, Xingwu, Chen, Xuefeng, Tao, Zhiyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Cluster Clustering methods Data models Decision making Deep learning Domain adaptation Fault diagnosis Gears Industrial Internet of Things Training Transfer learning Universal domain adaptation Wavelet domain
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