Application of Thermography and Convolutional Neural Network to Diagnose Mechanical Faults in Induction Motors and Gearbox Wear

Application of Thermography and Convolutional Neural Network to Diagnose Mechanical Faults in Induction Motors and Gearbox Wear

Nowadays, induction motors and gearboxes play an important role in the industry due to the fact that they are indispensable tools that allow a large number of machines to operate. In this research, a diagnosis method is proposed for the detection of different faults in an electromechanical system th...

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Bibliographic Details
Main Authors: Emmanuel Resendiz-Ochoa, Omar Trejo-Chavez, Juan J. Saucedo-Dorantes, Luis A. Morales-Hernandez, Irving A. Cruz-Albarran
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied System Innovation
Subjects:
thermography
CNN
induction motor failures
gearbox condition
multi-fault diagnosis
Online Access:https://www.mdpi.com/2571-5577/7/6/123
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