Machine Learning Approaches for Predictive Maintenance in Internet of Things Environments
Keywords:
Predictive Maintenance, Machine Learning, Internet Of Things, Sensor Data, Fault Prediction, Industrial IotAbstract
Predictive maintenance (PdM) in Internet of Things (IoT) environments leverages continuous sensor data, real-time connectivity, and machine learning (ML) models to forecast equipment failures and optimize maintenance strategies. By replacing reactive or scheduled maintenance with data-driven predictions, industries can significantly reduce downtime, lower maintenance costs, and extend asset lifetimes. This paper presents an overview of machine learning approaches for PdM within IoT ecosystems, reviews foundational literature, describes architecture, methods, challenges and future directions. A conceptual diagram and two comparison tables illustrate key frameworks and algorithmic techniques
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Copyright (c) 2025 Anton Roman (Author)
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