A Smart-Anomaly-Detection System for Industrial Machines Based on Feature Autoencoder and Deep Learning

Machine-health-surveillance systems are gaining popularity in industrial manufacturing systems due to the widespread availability of low-cost devices, sensors, and internet connectivity. In this regard, artificial intelligence provides valuable assistance in the form of deep learning methods to anal...

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Detalles Bibliográficos
Autores principales: Ahmed, Imran, Ahmad, Misbah, Chehri, Abdellah, Jeon, Gwanggil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863665/
https://www.ncbi.nlm.nih.gov/pubmed/36677215
http://dx.doi.org/10.3390/mi14010154

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863665/
https://www.ncbi.nlm.nih.gov/pubmed/36677215
http://dx.doi.org/10.3390/mi14010154

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