Flynn, David, Bailey, Christopher ORCID: https://orcid.org/0000-0002-9438-3879, Rajaguru, Pushpa ORCID: https://orcid.org/0000-0002-6041-0517, Wenshuo, Tang and Yin, Chunyan ORCID: https://orcid.org/0000-0003-0298-0420 (2019) Prognostics and health management of subsea cables. In: Goodman, Douglas, Hofmeister, James P. and Szidarovszky, Ferenc, (eds.) Prognostics and Health Management: A Practical Approach to Improving System Reliability Using Condition-Based Data. Quality and Reliability Engineering Series . Wiley-Blackwell. ISBN 978-1119356653

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Abstract

Subsea power cables are critical to bringing on shore the power from offshore renewable energy systems as well as maintaining supply to island communities from onshore generation.. Globally, the market in subsea power cables is growing expontentially due to their critical role in renewable and sustainable energy.. The integrity of national energy security, due to the expanding offshore renewable energy sector is highly dependent on their reliability. Recent investments in international subsea cable projects represent billions of dollars of investment, yet the state-of-the-art monitoring systems for subsea power cables do not monitor or predict the remaining useful life (RUL) associated with major subsea cable failure mechanisms, the majority of which aredue to environmental factors. Today’s technology, namely fibre optic sensing and online partial discharge monitoring, soley focus on internal breakdown mechanisms. 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 model is sensor agnostic, thereby, suitable for expansion to include additional data types. A mathematical model and an associated software tool that can be used to predict cable damage and lifetime are outlined within this framework. For a defined cable layout on different seabed conditions and tidal flow inputs, the model calculates cable movement, taking into account scouring, and predicts the amount of cable wear that will occur over time due to both abrasion and corrosion. The modelling methodology provides utility and cable companies with the ability to predict cable lifetime taking into account scouring, corrosion, and abrasion for different cable constructions and environmental conditions

Item Type:	Book Section
Uncontrolled Keywords:	subsea cable scoring, corrosion
Subjects:	Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Mechanics & Reliability Group (CMRG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:06
URI:	http://gala.gre.ac.uk/id/eprint/19538

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