AI-Driven Energy Centered Maintenance (River Publishers Series in Energy Management) （3RD）

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AI-Driven Energy Centered Maintenance (River Publishers Series in Energy Management) （3RD）

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  • 製本 Hardcover:ハードカバー版／ページ数 284 p.
  • 言語 ENG
  • 商品コード 9788743801719
  • DDC分類 696

Full Description

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.

Contents

1. Energy Reduction 2. Different Maintenance Types and the Need for Energy Centered Maintenance 3. Energy Centered Maintenance Origin and Model 4. ECM Process - Equipment Identification 5. ECM Process - Data Collection 6. ECM Process - ECM Inspections 7. ECM Process - Measuring Equipment Current Performance 8. ECM Process - Identifying Corrective/ Preventive Action and Cost Effectiveness 9. ECM Process - Updating Preventative Maintenance Plans 10. Energy Centered Maintenance to Avoid Low Delta T Syndrome in Chilled Water Systems 11. Energy Centered Maintenance in Data Centers 12. Measures of Equipment and Maintenance Efficiency and Effectiveness 13. Energy Savings Verification 14. Building Energy Centered Behavior Leading to an Energy Centered Culture 15. Data Driven Energy Centered Maintenance Model 16. AI-Driven Energy Centered Maintenance 17. Conclusion

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