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Intelligent operation and maintenance for subsea production systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent operation and maintenance for subsea production systemsby Baoping Cai ... [et al.].
其他作者:	Cai, Baoping.
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xxii, 510 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Ocean engineering.
電子資源:	https://doi.org/10.1007/978-981-96-2677-9
ISBN:	9789819626779$q(electronic bk.)

Intelligent operation and maintenance for subsea production systems
Intelligent operation and maintenance for subsea production systems[electronic resource] /by Baoping Cai ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xxii, 510 p. :ill., digital ;24 cm.

1. Fault diagnosis for composite faults and minor faults -- 2. Digital twin-assisted intelligent fault diagnosis -- 3. Optimal sensor placement for fault diagnosis -- 4. Fault diagnosis for subsea control system -- 5. Concurrent fault diagnosis for electric-hydraulic system.

This book systematically explores the challenges and advancements in integrating intelligent technologies with ocean engineering, with a particular focus on three core topics of fault diagnosis, fault prognosis, and maintenance for subsea production systems in harsh environments. It specifically addresses subsea engineering, focusing on the intersection with intelligent technologies in operation and maintenance, and also appeals to scholars and engineers from various disciplines, including Mechanical Engineering, Electrical Engineering, Oil and Gas Production, Reliability Engineering, and other related fields. This book introduces the latest algorithmic models for fault diagnosis, prognosis and maintenance, grounded in advanced methodologies such as big data, digital twin, Bayesian Networks. It features comprehensive figures, detailed tables, and a novel presentation style, making complex research more accessible. Additionally, this book stands out for its systematic approach to integrating cutting-edge methodologies with practical applications, providing practical insights and demonstrating foresight in the field of intelligent operation and maintenance for subsea production systems. The book is intended for graduate students, researchers, practitioners, industry engineers, and maintenance professionals specializing in subsea engineering, marine technology, intelligent systems, oil and gas production systems, and alike.

ISBN: 9789819626779$q(electronic bk.)

Standard No.: 10.1007/978-981-96-2677-9doiSubjects--Topical Terms:

575501
Ocean engineering.

LC Class. No.: TC1650

Dewey Class. No.: 620.4162

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520 $a This book systematically explores the challenges and advancements in integrating intelligent technologies with ocean engineering, with a particular focus on three core topics of fault diagnosis, fault prognosis, and maintenance for subsea production systems in harsh environments. It specifically addresses subsea engineering, focusing on the intersection with intelligent technologies in operation and maintenance, and also appeals to scholars and engineers from various disciplines, including Mechanical Engineering, Electrical Engineering, Oil and Gas Production, Reliability Engineering, and other related fields. This book introduces the latest algorithmic models for fault diagnosis, prognosis and maintenance, grounded in advanced methodologies such as big data, digital twin, Bayesian Networks. It features comprehensive figures, detailed tables, and a novel presentation style, making complex research more accessible. Additionally, this book stands out for its systematic approach to integrating cutting-edge methodologies with practical applications, providing practical insights and demonstrating foresight in the field of intelligent operation and maintenance for subsea production systems. The book is intended for graduate students, researchers, practitioners, industry engineers, and maintenance professionals specializing in subsea engineering, marine technology, intelligent systems, oil and gas production systems, and alike.
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