PHM of Subsea Cables

David Flynn; Christopher Bailey; Pushpa Rajaguru; Wenshuo Tang; Chunyan Yin

doi:10.1002/9781119515326.ch16

PHM of Subsea Cables

David Flynn, Christopher Bailey, Pushpa Rajaguru, Wenshuo Tang, Chunyan Yin

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

This chapter presents the world's first holistic and prognostic lifetime prediction model that provides an accurate forecast on cable health, which is vital for subsea cable asset management and planning. The current state‐of‐the‐art monitoring systems that focus on internal failures use online partial discharge monitoring, and 30% of subsea cable failure modes are informed by these systems. The chapter reviews the relevant test standards for qualifying the subsea cables as well as maintainability of cables. Cable users have few options for assessing the remaining useful life (RUL) of subsea cables by effective monitoring and prediction. A prognostics and health management (PHM) solution to monitoring subsea cable degradation can ensure that current and future energy assets are maintained in a cost‐effective manner. The chapter discusses the most important challenge for developing a PHM system: the lack of data and data‐gathering techniques, and possible resolutions.

Original language	English
Title of host publication	Prognostics and Health Management of Electronics
Subtitle of host publication	Fundamentals, Machine Learning, and the Internet of Things
Editors	Michael G. Pecht, Myeongsu Kang
Publisher	Wiley
Chapter	16
Pages	451-478
Number of pages	28
Edition	1
ISBN (Electronic)	9781119515326
ISBN (Print)	9781119515333
DOIs	https://doi.org/10.1002/9781119515326.ch16
Publication status	Published - 24 Aug 2018

Keywords

Prognostics
Health management
Assets
Modelling
Subsea

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10.1002/9781119515326.ch16

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title = "PHM of Subsea Cables",

abstract = "This chapter presents the world's first holistic and prognostic lifetime prediction model that provides an accurate forecast on cable health, which is vital for subsea cable asset management and planning. The current state‐of‐the‐art monitoring systems that focus on internal failures use online partial discharge monitoring, and 30% of subsea cable failure modes are informed by these systems. The chapter reviews the relevant test standards for qualifying the subsea cables as well as maintainability of cables. Cable users have few options for assessing the remaining useful life (RUL) of subsea cables by effective monitoring and prediction. A prognostics and health management (PHM) solution to monitoring subsea cable degradation can ensure that current and future energy assets are maintained in a cost‐effective manner. The chapter discusses the most important challenge for developing a PHM system: the lack of data and data‐gathering techniques, and possible resolutions.",

keywords = "Prognostics, Health management, Assets, Modelling, Subsea",

author = "David Flynn and Christopher Bailey and Pushpa Rajaguru and Wenshuo Tang and Chunyan Yin",

note = "Cover note from the coordinating researcher: {"}Dear David Flynn, Christopher Bailey, Pushpa Rajaguru, Tang Wenshuo, Chunyan Yin You are the coauthors of the new book, titled {"}Prognostics and Health Management of Electronics: Fundamentals, Machine Learning, and IoT.{"} Here is the final version of Chapter 18: Title: PHM of Subsea Cables Authors: D. Flynn, C. Bailey, P. Rajagur, T. Wenshuo, C. Yin This is your last chance to review the chapter. We need the chapter back by Feb 12, 2018, and are submitting the chapter shortly after that to the publisher. We are hoping to have the book out by late August.{"}",

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doi = "10.1002/9781119515326.ch16",

language = "English",

isbn = "9781119515333",

pages = "451--478",

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TY - CHAP

T1 - PHM of Subsea Cables

AU - Flynn, David

AU - Bailey, Christopher

AU - Rajaguru, Pushpa

AU - Tang, Wenshuo

AU - Yin, Chunyan

N1 - Cover note from the coordinating researcher: "Dear David Flynn, Christopher Bailey, Pushpa Rajaguru, Tang Wenshuo, Chunyan Yin You are the coauthors of the new book, titled "Prognostics and Health Management of Electronics: Fundamentals, Machine Learning, and IoT." Here is the final version of Chapter 18: Title: PHM of Subsea Cables Authors: D. Flynn, C. Bailey, P. Rajagur, T. Wenshuo, C. Yin This is your last chance to review the chapter. We need the chapter back by Feb 12, 2018, and are submitting the chapter shortly after that to the publisher. We are hoping to have the book out by late August."

PY - 2018/8/24

Y1 - 2018/8/24

N2 - This chapter presents the world's first holistic and prognostic lifetime prediction model that provides an accurate forecast on cable health, which is vital for subsea cable asset management and planning. The current state‐of‐the‐art monitoring systems that focus on internal failures use online partial discharge monitoring, and 30% of subsea cable failure modes are informed by these systems. The chapter reviews the relevant test standards for qualifying the subsea cables as well as maintainability of cables. Cable users have few options for assessing the remaining useful life (RUL) of subsea cables by effective monitoring and prediction. A prognostics and health management (PHM) solution to monitoring subsea cable degradation can ensure that current and future energy assets are maintained in a cost‐effective manner. The chapter discusses the most important challenge for developing a PHM system: the lack of data and data‐gathering techniques, and possible resolutions.

AB - This chapter presents the world's first holistic and prognostic lifetime prediction model that provides an accurate forecast on cable health, which is vital for subsea cable asset management and planning. The current state‐of‐the‐art monitoring systems that focus on internal failures use online partial discharge monitoring, and 30% of subsea cable failure modes are informed by these systems. The chapter reviews the relevant test standards for qualifying the subsea cables as well as maintainability of cables. Cable users have few options for assessing the remaining useful life (RUL) of subsea cables by effective monitoring and prediction. A prognostics and health management (PHM) solution to monitoring subsea cable degradation can ensure that current and future energy assets are maintained in a cost‐effective manner. The chapter discusses the most important challenge for developing a PHM system: the lack of data and data‐gathering techniques, and possible resolutions.

KW - Prognostics

KW - Health management

KW - Assets

KW - Modelling

KW - Subsea

U2 - 10.1002/9781119515326.ch16

DO - 10.1002/9781119515326.ch16

M3 - Chapter (peer-reviewed)

SN - 9781119515333

SP - 451

EP - 478

BT - Prognostics and Health Management of Electronics

A2 - Pecht, Michael G.

A2 - Kang, Myeongsu

PB - Wiley

ER -

PHM of Subsea Cables

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