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Abstract

The advent of the Internet of Things (IoT) has revolutionized the approach to industrial machinery maintenance by enabling real-time monitoring, predictive analytics, and data-driven decision-making. This study explores the implementation of IoT-based predictive maintenance systems in industrial settings, analyzing their effectiveness in reducing downtime, optimizing resource allocation, and extending equipment lifespan. The findings indicate that integrating IoT technologies significantly enhances operational efficiency and reduces maintenance costs.