Application-Wise Review of Machine Learning-Based Predictive Maintenance: Trends, Challenges, and Future Directions

Application-Wise Review of Machine Learning-Based Predictive Maintenance: Trends, Challenges, and Future Directions

This systematic literature review (SLR) provides a comprehensive application-wise analysis of machine learning (ML)-driven predictive maintenance (PdM) across industrial domains. Motivated by the digital transformation of industry 4.0, this study explores how ML techniques optimize maintenance by pr...

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Bibliographic Details
Main Authors: Christos Tsallis, Panagiotis Papageorgas, Dimitrios Piromalis, Radu Adrian Munteanu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
machine learning
predictive maintenance
digital twins
Internet of Things
Industry 4.0
fault diagnosis
Online Access:https://www.mdpi.com/2076-3417/15/9/4898
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