Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems

Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems

Fault diagnosis in manufacturing systems represents one of the most critical challenges dealing with condition-based monitoring in the recent era of smart manufacturing. In the current Industry 4.0 framework, maintenance strategies based on traditional data-driven fault diagnosis schemes require enh...

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Bibliographic Details
Main Authors: Francisco Arellano-Espitia, Miguel Delgado-Prieto, Victor Martinez-Viol, Juan Jose Saucedo-Dorantes, Roque Alfredo Osornio-Rios
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
condition monitoring
fault detection
data-driven fault diagnosis systems
deep neural network
feature fusion
Online Access:https://www.mdpi.com/1424-8220/20/14/3949

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https://www.mdpi.com/1424-8220/20/14/3949

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