Abstract
Preventive maintenance (PM) is crucial for ensuring the reliability, safety, and efficiency of industrial equipment. The integration of Artificial Intelligence (AI) into preventive maintenance systems has revolutionized the way industries approach equipment monitoring and maintenance. AI technologies, such as machine learning, predictive analytics, and expert systems, enable real-time monitoring, data analysis, and decision-making to optimize maintenance schedules, minimize downtime, and extend the lifespan of critical assets. This paper explores the role of AI in preventive maintenance, highlighting the benefits, challenges, and future trends of AI-driven PM systems. Case studies are provided to demonstrate the successful implementation of AI in various industries, along with recommendations for organizations seeking to integrate AI into their maintenance practices.
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