SSPENet: Semi-supervised prototype enhancement network for rolling bearing fault diagnosis under limited labeled samples

Yao, Xuejian; Lu, Xingchi; Jiang, Quansheng; Shen, Yehu; Xu, Fengyu; Zhu, Qixin

doi:10.1016/j.aei.2024.102560

Advanced Engineering Informatics

2024

DOI: 10.1016/j.aei.2024.102560

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SSPENet: Semi-supervised prototype enhancement network for rolling bearing fault diagnosis under limited labeled samples

Xuejian Yao,

Xingchi Lu,

Quansheng Jiang

et al.

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SSPENet: Semi-supervised prototype enhancement network for rolling bearing fault diagnosis under limited labeled samples

Cited by 3 publications

References 37 publications

Physics-informed unsupervised domain adaptation framework for cross-machine bearing fault diagnosis

Physics-informed unsupervised domain adaptation framework for cross-machine bearing fault diagnosis

A feature extension and reconstruction method with incremental learning capabilities under limited samples for intelligent diagnosis

Intelligent diagnosis method of torque-angle dynamometer cards for beam pumping units based on transfer learning

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