AI-Driven Predictive Maintenance in Industrial IoT
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Abstract
Predictive maintenance is a critical application of Artificial Intelligence (AI) in the context of Industrial Internet of Things (IIoT). This approach harnesses the power of AI to monitor, analyze, and predict the maintenance needs of machinery and equipment in industrial settings. By proactively identifying issues and scheduling maintenance before breakdowns occur, predictive maintenance helps to improve equipment reliability, reduce downtime, and ultimately save costs.
This paper presents a comprehensive overview of AI-driven predictive maintenance in the context of Industrial IoT. It covers various machine learning algorithms, sensor technologies, and data processing techniques used for predictive maintenance. Furthermore, the paper discusses the challenges and opportunities in implementing AI-driven predictive maintenance systems, including data quality, model accuracy, and real-time decision-making.
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