Intelligent Fault Diagnosis of Rotary Machinery by Convolutional Neural Network with Automatic Hyper-Parameters Tuning Using Bayesian Optimization

Intelligent fault diagnosis can be related to applications of machine learning theories to machine fault diagnosis. Although there is a large number of successful examples, there is a gap in the optimization of the hyper-parameters of the machine learning model, which ultimately has a major impact o...

Descripción completa

Detalles Bibliográficos
Autores principales: Kolar, Davor, Lisjak, Dragutin, Pająk, Michał, Gudlin, Mihael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036431/
https://www.ncbi.nlm.nih.gov/pubmed/33807427
http://dx.doi.org/10.3390/s21072411

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036431/
https://www.ncbi.nlm.nih.gov/pubmed/33807427
http://dx.doi.org/10.3390/s21072411

Ejemplares similares