Paradigm shift for predictive maintenance and condition monitoring from Industry 4.0 to Industry 5.0: A systematic review, challenges and case study

Paradigm shift for predictive maintenance and condition monitoring from Industry 4.0 to Industry 5.0: A systematic review, challenges and case study

This paper examines the integration of Industry 5.0 principles with advanced predictive maintenance (PdM) and condition monitoring (CM) practices, based on Industry 4.0's enabling technologies. It provides a comprehensive review of the roles of Machine Learning (ML), Digital Twins (DT), the Int...

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Bibliographic Details
Main Authors: Aitzaz Ahmed Murtaza, Amina Saher, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Muhammad Faisal Aftab, Filippo Sanfilippo
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
Subjects:
Industry 5.0
Predictive maintenance
Condition monitoring
Digital Twins
Machine Learning
Internet of Things
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024011903
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