東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Intelligent operation and maintenanc...

Cai, Baoping.

Linked to FindBook

Google Book

Amazon

博客來

Intelligent operation and maintenance for subsea production systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent operation and maintenance for subsea production systems/ by Baoping Cai ... [et al.].
other author:	Cai, Baoping.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xxii, 510 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Ocean engineering. -
Online resource:	https://doi.org/10.1007/978-981-96-2677-9
ISBN:	9789819626779

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

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

660731
Ocean engineering.

LC Class. No.: TC1650

Dewey Class. No.: 620.4162

Intelligent operation and maintenance for subsea production systems
LDR:02705nmm a2200325 a 4500 001 2410208
003 DE-He213
005 20250529130244.0
006 m d
007 cr nn 008maaau
008 260204s2025 si s 0 eng d
020 $a 9789819626779 $q (electronic bk.)
020 $a 9789819626762 $q (paper)
024 7 $a 10.1007/978-981-96-2677-9 $2 doi
035 $a 978-981-96-2677-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TC1650
072 7 $a TTSH $2 bicssc
072 7 $a TEC009020 $2 bisacsh
072 7 $a TTS $2 thema
082 0 4 $a 620.4162 $2 23
090 $a TC1650 $b .I61 2025
245 0 0 $a Intelligent operation and maintenance for subsea production systems $h [electronic resource] / $c by Baoping Cai ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xxii, 510 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
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.
650 0 $a Ocean engineering. $3 660731
650 0 $a Fault location (Engineering) $3 649702
650 1 4 $a Offshore Engineering. $3 896759
650 2 4 $a Control, Robotics, Automation. $3 3592500
650 2 4 $a Industrial and Production Engineering. $3 891024
650 2 4 $a Fire Science, Hazard Control, Building Safety. $3 3219554
650 2 4 $a Building Repair and Maintenance. $3 896667
650 2 4 $a Big Data. $3 3134868
700 1 $a Cai, Baoping. $3 3391408
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-96-2677-9
950 $a Engineering (SpringerNature-11647)