Integrating Learning-Driven Model Behavior and Data Representation for Enhanced Remaining Useful Life Prediction in Rotating Machinery

Integrating Learning-Driven Model Behavior and Data Representation for Enhanced Remaining Useful Life Prediction in Rotating Machinery

The increasing complexity of modern mechanical systems, especially rotating machinery, demands effective condition monitoring techniques, particularly deep learning, to predict potential failures in a timely manner and enable preventative maintenance strategies. Health monitoring data analysis, a wi...

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Bibliographic Details
Main Authors: Tarek Berghout, Eric Bechhoefer, Faycal Djeffal, Wei Hong Lim
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Machines
Subjects:
bearings
deep learning
random forest
recurrent expansion
remaining useful life
wind turbine
Online Access:https://www.mdpi.com/2075-1702/12/10/729

Internet

https://www.mdpi.com/2075-1702/12/10/729

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