A Deep Learning Model for Predictive Maintenance in Cyber-Physical Production Systems Using LSTM Autoencoders

A Deep Learning Model for Predictive Maintenance in Cyber-Physical Production Systems Using LSTM Autoencoders

Condition monitoring of industrial equipment, combined with machine learning algorithms, may significantly improve maintenance activities on modern cyber-physical production systems. However, data of proper quality and of adequate quantity, modeling both good operational conditions as well as abnorm...

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Bibliographic Details
Main Authors: Xanthi Bampoula, Georgios Siaterlis, Nikolaos Nikolakis, Kosmas Alexopoulos
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
cyber-physical production systems
deep learning
artificial intelligence
Long Short-Term Memory (LSTM)
predictive maintenance
remaining useful life
Online Access:https://www.mdpi.com/1424-8220/21/3/972

Internet

https://www.mdpi.com/1424-8220/21/3/972

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