Impact of Deep Learning Optimizers and Hyperparameter Tuning on the Performance of Bearing Fault Diagnosis

Deep learning has recently resulted in remarkable performance improvements in machine fault diagnosis using only raw input vibration signals without signal preprocessing. However, research on machine fault diagnosis using deep learning has primarily focused on model architectures, even though optimi...

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Bibliografische gegevens

Hoofdauteurs:	Seongjae Lee, Taehyoun Kim
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2023-01-01
Reeks:	IEEE Access
Onderwerpen:	Bearing fault diagnosis convolutional neural network deep learning hyperparameter tuning noise-robustness optimization
Online toegang:	https://ieeexplore.ieee.org/document/10141610/
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