AI-Driven Energy Centered Maintenance

This third edition provides a comprehensive update and expansion on the principles and practices of Energy-Centered Maintenance (ECM). It combines advanced concepts with actionable strategies to enhance equipment energy efficiency reliability and availability. By integrating cutting-edge developments in artificial intelligence machine learning and predictive maintenance the book offers a modernized approach to facility management that aligns with digital transformation trends.Designed as a self-study guide and reference for energy engineers facility managers and maintenance professionals this edition provides invaluable knowledge on data-driven and AI-driven maintenance strategies energy performance optimization and the integration of smart technologies into maintenance planning. Through practical insights case studies and real-world applications it emphasizes sustainability operational excellence and cost-efficiency.Tailored for engineers facility managers students and decision-makers this edition equips readers with the tools and knowledge needed to implement ECM effectively in modern facilities. It bridges theoretical foundations with real-world applications demonstrating ECM’s critical role in reducing energy consumption enhancing equipment performance and supporting sustainable AI-driven facility management practices.