Design Reliability and Maintainability of Energy Systems - Softcover

9780443452314: Design Reliability and Maintainability of Energy Systems

Softcover

ISBN 10: 0443452318 ISBN 13: 9780443452314

Publisher: Elsevier, 2026

Designing reliable and maintainable energy systems is crucial for ensuring efficiency, longevity, and sustainability in energy production, distribution, and consumption. Reliability focuses on minimizing failures and ensuring continuous operation under varying conditions, while maintainability emphasizes ease of inspection, repair, and upgrades. A well-designed energy system integrates robust components, predictive maintenance strategies, and advanced monitoring technologies to reduce downtime and operational costs. By prioritizing both reliability and maintainability, engineers can develop resilient energy infrastructures that support modern demands while minimizing environmental impact and lifecycle costs.

Designing Reliability and Maintainability of Energy Systems is a guide to enhancing the resilience and reliability of modern energy infrastructures. Chapters present fundamental principles of reliability and resilience and new artificial intelligence applications, such as predictive maintenance, advanced analytics, and digital twin technologies for improved efficiency and sustainability in energy systems. Clear chapter objectives, worked problems, and case studies are included to demonstrate real-world applications of these technologies.

This book is valuable for researchers, industry professionals, engineers, and advanced undergraduate and graduate students focused on energy grids, power system reliability, and AI-driven solutions for sustainable infrastructure.

Provides a foundation with the fundamental principles and strategies for reliability and resilience
Introduces the readers to a toolbox of AI methodologies with a variety of applications
Leverages clear chapter objectives, worked problems, and detailed case studies to support real-world solution-building

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About the Authors

Fausto Pedro Garc�a M�rquez works as a Professor and as Director of the Ingenium Research Group at the Universidad De Castilla-La Mancha, Spain. He is an Honorary Senior Research Fellow at Birmingham University, UK, and a Lecturer at the Postgraduate European Institute. He has published numerous papers and books with international publishers of repute, and has been involved as a principal investigator in numerous international projects. His main interests are: Artificial Intelligence, Maintenance, Management, Renewable Energy, Transport, Advanced Analytics, and Data Science.

Ren� Vinicio S�nchez Loja is a Professor at the Universidad Polit�cnica Salesiana, Ecuador, working mainly in areas related to the automation of sequential processes. In 2014, he founded the Research and Development Group in Industrial Technologies, and Overseas invited Ph.D. at Chongqing Technology and Business University, China. He is a senior member of IEEE. He has extensive experience in the organization of conferences, implementation of technological projects, management and execution of research projects; currently he has more than 60 publications in Web of Science. His current focus is in the areas of project management, condition-based maintenance, engineering education and industry 4.0 especially for SMEs.

Mayorkinos Papaelias is a Reader in NDT and Condition Monitoring in the School of Metallogy and Materials at the University of Birmingham, UK. Dr Papaelias leads the research activity in Non-Destructive Testing and Structural Health Condition Monitoring at the Birmingham Railway Centre for Research and Education and conducts research in structural health condition monitoring of wind turbine towers, and advanced condition monitoring of wind turbine gearboxes and rotating machinery. He served as a technical consultant to TWI, ENGITEC, Innovative Technology and Science Ltd, and Instituto de Soldadura e Qualidade. He is editor of two books on fault detection and condition monitoring, and has contributed chapters to books in fault detection and rail inspection. Mayorkinos is chairman of the Education Committee of the International Society for Condition Monitoring of the British Institute of Non-Destructive Testing.

From the Back Cover

Provides a foundation with the fundamental principles and strategies for reliability and resilience
Introduces the readers to a toolbox of AI methodologies with a variety of applications
Leverages clear chapter objectives, worked problems, and detailed case studies to support real-world solution-building

About the Editors:

Fausto Pedro Garc�a M�rquez is a Professor and as Director of the Ingenium Research Group at the Universidad de Castilla-La Mancha, Spain.
Ren� Vinicio S�nchez Loja is a Professor at the Universidad Polit�cnica Salesiana, Ecuador, working mainly in areas related to predictive maintenance and safety.
Mayorkinos Papaelias is a Professor in NDT and Condition Monitoring in the School of Metallurgy and Materials at the University of Birmingham, UK.

"About this title" may belong to another edition of this title.