Multiple Electromechanical-Failure Detection in Induction Motor Using Thermographic Intensity Profile and Artificial Neural Network

Multiple Electromechanical-Failure Detection in Induction Motor Using Thermographic Intensity Profile and Artificial Neural Network

The use of artificial intelligence-based techniques to solve engineering problems is increasing. One of the most challenging tasks facing industry is the timely diagnosis of failures in electromechanical systems, as they are an essential part of production systems. In this sense, the earlier the det...

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Bibliographic Details
Main Authors: Emmanuel Resendiz-Ochoa, Salvador Calderon-Uribe, Luis A. Morales-Hernandez, Carlos A. Perez-Ramirez, Irving A. Cruz-Albarran
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Machines
Subjects:
artificial neural network
thermographic image
fast fourier transform
induction motor
gearbox
Online Access:https://www.mdpi.com/2075-1702/12/12/928
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