AI-Driven Energy Centered Maintenance (3) (River Publishers Series in Energy Management)
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- Synopsis
- 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.
- Copyright:
- 2026
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 308 Pages
- ISBN-13:
- 9781040420928
- Related ISBNs:
- 9788743801733, 9788743801726, 9781000418330, 9788743801719
- Publisher:
- River Publishers
- Date of Addition:
- 08/05/25
- Copyrighted By:
- River Publishers
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Business and Finance
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.