A limited annotated sample fault diagnosis algorithm based on nonlinear coupling self-attention mechanism

•A novel semi-supervised learning method is presented for fault diagnosis with limited annotated samples;•A novel reconstruction method and multi-scale convolutional autoencoder is adopted to extract crucial information;•A nonlinear coupling self-attention module is used to fuse nonlinear and linear...

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Veröffentlicht in:	Engineering failure analysis Jg. 174; S. 109474
Hauptverfasser:	Luo, Shuyang, Zhang, Dong, Wu, Jinhong, Wang, Yanzhi, Zhou, Qi, Hu, Jiexiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2025
Schlagworte:	Fault diagnosis Limited annotated samples Nonlinear coupling self-attention mechanism (NCSAM) Semi-supervised learning Fault diagnosis Limited annotated samples Nonlinear coupling self-attention mechanism (NCSAM) Semi-supervised learning
ISSN:	1350-6307
Online-Zugang:	Volltext
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