Predictive Maintenance and Fault Monitoring Enabled by Machine Learning: Experimental Analysis of a TA-48 Multistage Centrifugal Plant Compressor

In an increasingly competitive industrial world, the need to adapt to any change at any time has become a major necessity for every industry to remain competitive and survive in their environments. Industries are undergoing rapid and perpetual changes on several levels. Indeed, the latter requires c...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Mounia Achouch, Mariya Dimitrova, Rizck Dhouib, Hussein Ibrahim, Mehdi Adda, Sasan Sattarpanah Karganroudi, Khaled Ziane, Ahmad Aminzadeh
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Subjects:	industry 4.0 predictive maintenance machine learning algorithms fault prediction Rotary equipment LSTM neural networks
Online Access:	https://www.mdpi.com/2076-3417/13/3/1790