The Design of a Fusion Prognostic Model and Health Management System for Subsea Power Cables

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Subsea power cables are critical infrastructure for
the continuity of energy supply and are a key enabler to the
global growth in offshore renewable energy generation. Capital
projects for long range, greater than 60km distances, for
transmission networks can cost in excess of £1billion. In this
paper, we have extensively reviewed the data within academia
and industry with respect to the practices and challenges of
subsea power cable management. With a detailed focus on 15
years of historical cable failure data from the UKs largest owner
of subsea power cables, we identified that existing commercial
monitoring systems do not monitor about 70% of subsea power
cable failure modes. To overcome the challenges this represents
to delivering cost effective and timely intervention to subsea
power cables, we present a fusion prognostic model to enable
predictive forecast on cable failure modes, include location and
rates of degradation.
In our model, we incorporate physical models to simulate the
process where common cable failure modes lead to cable damage,
such as abrasion and corrosion. In addition, we implemented
multi-physics modelling techniques to model cable displacement
and scouring, taking into consideration different environmental
condition profiles. We also demonstrate how new sensing
technologies can be integrated into this sensor agnostic model in
order to enhance lifetime prediction accuracy. An operational
decision support system is implemented within this work to
integrate these different physical failure models, using a fusion
model approach which integrates in-situ inspection data from
sonar, autonomous underwater vehicle (AUV) inspection mission
planning, and data analysis results into a holistic subsea cable
remaining useful life prediction capability.
Original languageEnglish
Title of host publicationOCEANS 2019 Seattle Online Proceedings
PublisherIEEE
Publication statusAccepted/In press - 12 Jul 2019
EventOCEANS 2019 - Seattle, Seattle, United States
Duration: 27 Oct 201931 Oct 2019
https://seattle19.oceansconference.org/

Conference

ConferenceOCEANS 2019
CountryUnited States
CitySeattle
Period27/10/1931/10/19
Internet address

Fingerprint

Cables
Fusion reactions
Health
Failure modes
Inspection
Critical infrastructures
Autonomous underwater vehicles
Abrasion
Costs
Physics
Corrosion
Degradation
Sensors
Industry

Cite this

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title = "The Design of a Fusion Prognostic Model and Health Management System for Subsea Power Cables",
abstract = "Subsea power cables are critical infrastructure forthe continuity of energy supply and are a key enabler to theglobal growth in offshore renewable energy generation. Capitalprojects for long range, greater than 60km distances, fortransmission networks can cost in excess of £1billion. In thispaper, we have extensively reviewed the data within academiaand industry with respect to the practices and challenges ofsubsea power cable management. With a detailed focus on 15years of historical cable failure data from the UKs largest ownerof subsea power cables, we identified that existing commercialmonitoring systems do not monitor about 70{\%} of subsea powercable failure modes. To overcome the challenges this representsto delivering cost effective and timely intervention to subseapower cables, we present a fusion prognostic model to enablepredictive forecast on cable failure modes, include location andrates of degradation.In our model, we incorporate physical models to simulate theprocess where common cable failure modes lead to cable damage,such as abrasion and corrosion. In addition, we implementedmulti-physics modelling techniques to model cable displacementand scouring, taking into consideration different environmentalcondition profiles. We also demonstrate how new sensingtechnologies can be integrated into this sensor agnostic model inorder to enhance lifetime prediction accuracy. An operationaldecision support system is implemented within this work tointegrate these different physical failure models, using a fusionmodel approach which integrates in-situ inspection data fromsonar, autonomous underwater vehicle (AUV) inspection missionplanning, and data analysis results into a holistic subsea cableremaining useful life prediction capability.",
author = "Wenshuo Tang and David Flynn and Brown, {Keith Edgar} and Valentin Robu and Xingyu Zhao",
year = "2019",
month = "7",
day = "12",
language = "English",
booktitle = "OCEANS 2019 Seattle Online Proceedings",
publisher = "IEEE",
address = "United States",

}

Tang, W, Flynn, D, Brown, KE, Robu, V & Zhao, X 2019, The Design of a Fusion Prognostic Model and Health Management System for Subsea Power Cables. in OCEANS 2019 Seattle Online Proceedings. IEEE, OCEANS 2019, Seattle, United States, 27/10/19.

The Design of a Fusion Prognostic Model and Health Management System for Subsea Power Cables. / Tang, Wenshuo; Flynn, David; Brown, Keith Edgar; Robu, Valentin; Zhao, Xingyu.

OCEANS 2019 Seattle Online Proceedings. IEEE, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - The Design of a Fusion Prognostic Model and Health Management System for Subsea Power Cables

AU - Tang, Wenshuo

AU - Flynn, David

AU - Brown, Keith Edgar

AU - Robu, Valentin

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PY - 2019/7/12

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N2 - Subsea power cables are critical infrastructure forthe continuity of energy supply and are a key enabler to theglobal growth in offshore renewable energy generation. Capitalprojects for long range, greater than 60km distances, fortransmission networks can cost in excess of £1billion. In thispaper, we have extensively reviewed the data within academiaand industry with respect to the practices and challenges ofsubsea power cable management. With a detailed focus on 15years of historical cable failure data from the UKs largest ownerof subsea power cables, we identified that existing commercialmonitoring systems do not monitor about 70% of subsea powercable failure modes. To overcome the challenges this representsto delivering cost effective and timely intervention to subseapower cables, we present a fusion prognostic model to enablepredictive forecast on cable failure modes, include location andrates of degradation.In our model, we incorporate physical models to simulate theprocess where common cable failure modes lead to cable damage,such as abrasion and corrosion. In addition, we implementedmulti-physics modelling techniques to model cable displacementand scouring, taking into consideration different environmentalcondition profiles. We also demonstrate how new sensingtechnologies can be integrated into this sensor agnostic model inorder to enhance lifetime prediction accuracy. An operationaldecision support system is implemented within this work tointegrate these different physical failure models, using a fusionmodel approach which integrates in-situ inspection data fromsonar, autonomous underwater vehicle (AUV) inspection missionplanning, and data analysis results into a holistic subsea cableremaining useful life prediction capability.

AB - Subsea power cables are critical infrastructure forthe continuity of energy supply and are a key enabler to theglobal growth in offshore renewable energy generation. Capitalprojects for long range, greater than 60km distances, fortransmission networks can cost in excess of £1billion. In thispaper, we have extensively reviewed the data within academiaand industry with respect to the practices and challenges ofsubsea power cable management. With a detailed focus on 15years of historical cable failure data from the UKs largest ownerof subsea power cables, we identified that existing commercialmonitoring systems do not monitor about 70% of subsea powercable failure modes. To overcome the challenges this representsto delivering cost effective and timely intervention to subseapower cables, we present a fusion prognostic model to enablepredictive forecast on cable failure modes, include location andrates of degradation.In our model, we incorporate physical models to simulate theprocess where common cable failure modes lead to cable damage,such as abrasion and corrosion. In addition, we implementedmulti-physics modelling techniques to model cable displacementand scouring, taking into consideration different environmentalcondition profiles. We also demonstrate how new sensingtechnologies can be integrated into this sensor agnostic model inorder to enhance lifetime prediction accuracy. An operationaldecision support system is implemented within this work tointegrate these different physical failure models, using a fusionmodel approach which integrates in-situ inspection data fromsonar, autonomous underwater vehicle (AUV) inspection missionplanning, and data analysis results into a holistic subsea cableremaining useful life prediction capability.

M3 - Conference contribution

BT - OCEANS 2019 Seattle Online Proceedings

PB - IEEE

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