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.
|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|
|Number of pages||28|
|Publication status||Published - 24 Aug 2018|
- Health management