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A fault diagnosis algorithm of the dedicated equipment base..:
, In:
2023 2nd Conference on Fully Actuated System Theory and Applications (CFASTA)
,
Hao, Yinlin
;
Guo, Zhannan
;
Wu, Yuhu
- p. 432-437 , 2023
Link:
https://doi.org/10.1109/CFASTA57821.2023.10243372
RT T1 <cTitle>2023 2nd Conference on Fully Actuated System Theory and Applications (CFASTA)</cTitle>: T1 <Title>A fault diagnosis algorithm of the dedicated equipment based on CBAM-ResNET mechanism</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10243372&Exemplar=1&LAN=DE A1 Hao, Yinlin A1 Guo, Zhannan A1 Wu, Yuhu YR 2023 K1 Fault diagnosis K1 Deep learning K1 Analytical models K1 Statistical analysis K1 Neural networks K1 Data models K1 Hardware K1 convolutional block attention module K1 deep learning K1 residual neural network K1 convolutional neural network SP 432 OP 437 LK http://dx.doi.org/https://doi.org/10.1109/CFASTA57821.2023.10243372 DO https://doi.org/10.1109/CFASTA57821.2023.10243372 SF ELIB - SuUB Bremen
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