Transfer Learning-Based Fault Diagnosis of Single-Stage Single-Acting Air Compressor
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-023-01128-8.pdf
Reference42 articles.
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3. Anwar AM, Eldeib AM (2020) EEG signal classification using convolutional neural networks on combined spatial and temporal dimensions for BCI systems. In: Proc Annu Int Conf IEEE Eng Med Biol Soc EMBS 2020-July, pp 434–437. https://doi.org/10.1109/EMBC44109.2020.9175894
4. Bourassa D, Gauthier F, Abdul-Nour G (2016) Equipment failures and their contribution to industrial incidents and accidents in the manufacturing industry. Int J Occup Saf Ergon 22:131–141. https://doi.org/10.1080/10803548.2015.1116814
5. Cabrera D, Guamán A, Zhang S et al (2020) Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor. Neurocomputing 380:51–66. https://doi.org/10.1016/j.neucom.2019.11.006
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