PHM of Subsea Cables

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

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


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 languageEnglish
Title of host publicationPrognostics and Health Management of Electronics
Subtitle of host publicationFundamentals, Machine Learning, and the Internet of Things
EditorsMichael G. Pecht, Myeongsu Kang
Number of pages28
ISBN (Electronic)9781119515326
ISBN (Print)9781119515333
Publication statusPublished - 24 Aug 2018


  • Prognostics
  • Health management
  • Assets
  • Modelling
  • Subsea


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