Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study

Autor(en): van den Hoogen, Jurgen
Hudson, Dan
Bloemheuvel, Stefan
Atzmueller, Martin 
Stichwörter: BEARING; Bearing fault detection; Computer Science; Computer Science, Artificial Intelligence; Computer Science, Information Systems; Convolutional neural networks; Deep learning; DIAGNOSIS; Hyperparameter analysis; Industrial fault detection; MACHINE; NEURAL-NETWORK; SUBGROUP DISCOVERY; SUPPORT; Time series classification
Erscheinungsdatum: 2023
Herausgeber: SPRINGERNATURE
Enthalten in: International Journal of Data Science and Analytics
ISSN: 2364-415X
DOI: 10.1007/s41060-023-00440-6

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