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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Bibliographic Details
Main Authors: Imran Ahmed, Misbah Ahmad, Abdellah Chehri, Gwanggil Jeon
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/14/1/154