[PDF] AI-Driven Energy Centered Maintenance by Fadi Alshakhshir
AI-Driven Energy Centered Maintenance by Fadi Alshakhshir
- AI-Driven Energy Centered Maintenance
- Fadi Alshakhshir
- Page: 308
- Format: pdf, ePub, mobi, fb2
- ISBN: 9788743801719
- Publisher: River Publishers
Ebook gratis download pdf AI-Driven Energy Centered Maintenance by Fadi Alshakhshir 9788743801719
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.
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This third edition provides a comprehensive update and expansion on the principles and practices of Energy-Centered Maintenance (ECM). It combines advanced.
AI-Driven Energy Centered Maintenance|Hardcover - Barnes & Noble
This third edition provides a comprehensive update and expansion on the principles and practices of Energy-Centered Maintenance (ECM).
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By integrating cutting-edge developments in artificial intelligence, machine learning, and predictive maintenance, the book offers a modernized approach to .
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book offers a modernized approach to facility management that aligns with digital transformation trends. Designed as a self-study guide and reference for energy .
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