Experimental Setup for Online Fault Diagnosis of Induction Machines via Promising IoT and Machine Learning: Towards Industry 4.0 Empowerment

Experimental Setup for Online Fault Diagnosis of Induction Machines via Promising IoT and Machine Learning: Towards Industry 4.0 Empowerment

In recent years, the internet of things (IoT) represents the main core of Industry 4.0 for cyber-physic systems (CPS) in order to improve the industrial environment. Accordingly, the application of IoT and CPS has been expanded in applied electrical systems and machines. However, cybersecurity repre...

Full description

Bibliographic Details
Main Authors: Minh-Quang Tran, Mahmoud Elsisi, Karar Mahmoud, Meng-Kun Liu, Matti Lehtonen, Mohamed M. F. Darwish
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
induction motor
machine learning
Internet of Things
industry 4.0
Online Access:https://ieeexplore.ieee.org/document/9514571/

Internet

https://ieeexplore.ieee.org/document/9514571/

Similar Items