Integrity Analysis Inspection and Lifecycle Prediction of Subsea Power Cables

Wenshuo Tang; Keith Edgar Brown; David Flynn; Hugues Pellae

doi:10.1109/PHM-Chongqing.2018.00024

Integrity Analysis Inspection and Lifecycle Prediction of Subsea Power Cables

Wenshuo Tang, Keith Edgar Brown, David Flynn, Hugues Pellae

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

696 Downloads (Pure)

Abstract

Subsea power cables are critical assets within the distribution and transmission infrastructure of electrical networks. Based on review of historical failure data, we have discovered that 70% of their failure modes are not monitored by current commercial monitoring systems, which predominately focus on the internal failure modes associated with partial discharge or overheating using online monitoring methods or embedded fibre-optics. In this paper, we proposed a fusion prognostic model for subsea cable lifetime prediction, employing an analytical model which is supported by accelerated aging data. In addition, we presented the preliminary results of our low frequency (LF) sonar analysis of subsea cables with a view to insitu integrity monitoring of cables. Seminal analysis on the echo data allowed us to distinguish cable samples with different types and diameter differentials of 2mm. Future work will focus on the integration and validation of this sonar data into the predictions of a cable's remaining useful life.

Original language	English
Title of host publication	2018 Prognostics and System Health Management Conference (PHM-Chongqing)
Editors	Ping Ding, Chuan Li, Shuai Yang, Ping Ding, Rene-Vinicio Sanchez
Publisher	IEEE
Pages	105-114
Number of pages	10
ISBN (Electronic)	9781538653807
DOIs	https://doi.org/10.1109/PHM-Chongqing.2018.00024
Publication status	Published - 7 Jan 2019

Publication series

Name	Prognostics and System Health Management Conference (PHM-Chongqing)
Publisher	IEEE
ISSN (Electronic)	2166-5656

Keywords

Fusion Modelling
Prognostics
Sensing
Sonar
Subsea Cables

ASJC Scopus subject areas

Computer Science Applications
Safety, Risk, Reliability and Quality
Modelling and Simulation
Instrumentation

Access to Document

10.1109/PHM-Chongqing.2018.00024

Download pdf
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Final published version, 1.04 MB

Cite this

Tang, W., Brown, K. E., Flynn, D., & Pellae, H. (2019). Integrity Analysis Inspection and Lifecycle Prediction of Subsea Power Cables. In P. Ding, C. Li, S. Yang, P. Ding, & R.-V. Sanchez (Eds.), 2018 Prognostics and System Health Management Conference (PHM-Chongqing) (pp. 105-114). (Prognostics and System Health Management Conference (PHM-Chongqing)). IEEE. https://doi.org/10.1109/PHM-Chongqing.2018.00024

Tang, Wenshuo ; Brown, Keith Edgar ; Flynn, David et al. / Integrity Analysis Inspection and Lifecycle Prediction of Subsea Power Cables. 2018 Prognostics and System Health Management Conference (PHM-Chongqing) . editor / Ping Ding ; Chuan Li ; Shuai Yang ; Ping Ding ; Rene-Vinicio Sanchez. IEEE, 2019. pp. 105-114 (Prognostics and System Health Management Conference (PHM-Chongqing)).

@inproceedings{d9f03ca115494e13b2619dea272d026a,

title = "Integrity Analysis Inspection and Lifecycle Prediction of Subsea Power Cables",

abstract = "Subsea power cables are critical assets within the distribution and transmission infrastructure of electrical networks. Based on review of historical failure data, we have discovered that 70% of their failure modes are not monitored by current commercial monitoring systems, which predominately focus on the internal failure modes associated with partial discharge or overheating using online monitoring methods or embedded fibre-optics. In this paper, we proposed a fusion prognostic model for subsea cable lifetime prediction, employing an analytical model which is supported by accelerated aging data. In addition, we presented the preliminary results of our low frequency (LF) sonar analysis of subsea cables with a view to insitu integrity monitoring of cables. Seminal analysis on the echo data allowed us to distinguish cable samples with different types and diameter differentials of 2mm. Future work will focus on the integration and validation of this sonar data into the predictions of a cable's remaining useful life.",

keywords = "Fusion Modelling, Prognostics, Sensing, Sonar, Subsea Cables",

author = "Wenshuo Tang and Brown, {Keith Edgar} and David Flynn and Hugues Pellae",

note = "Funding Information: ACKNOWLEDGMENT This research is partly funded by Scottish and Southern Energy (SSE) (http://sse.com/). The authors from Heriot-Watt University also acknowledge the funding support from the EPSRC project on HOME-Offshore (grant EP/P009743/1) as well as the EPSRC Offshore Robotics for Certification of Assets hub (grant EP/R026173/1). The authors also want to acknowledge the technical support of Hydrason Ltd. Publisher Copyright: {\textcopyright} 2018 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",

year = "2019",

month = jan,

day = "7",

doi = "10.1109/PHM-Chongqing.2018.00024",

language = "English",

series = "Prognostics and System Health Management Conference (PHM-Chongqing)",

publisher = "IEEE",

pages = "105--114",

editor = "Ping Ding and Chuan Li and Shuai Yang and Ping Ding and Rene-Vinicio Sanchez",

booktitle = "2018 Prognostics and System Health Management Conference (PHM-Chongqing)",

address = "United States",

}

Tang, W, Brown, KE , Flynn, D & Pellae, H 2019, Integrity Analysis Inspection and Lifecycle Prediction of Subsea Power Cables. in P Ding, C Li, S Yang, P Ding & R-V Sanchez (eds), 2018 Prognostics and System Health Management Conference (PHM-Chongqing) . Prognostics and System Health Management Conference (PHM-Chongqing), IEEE, pp. 105-114. https://doi.org/10.1109/PHM-Chongqing.2018.00024

Integrity Analysis Inspection and Lifecycle Prediction of Subsea Power Cables. / Tang, Wenshuo; Brown, Keith Edgar ; Flynn, David et al.
2018 Prognostics and System Health Management Conference (PHM-Chongqing) . ed. / Ping Ding; Chuan Li; Shuai Yang; Ping Ding; Rene-Vinicio Sanchez. IEEE, 2019. p. 105-114 (Prognostics and System Health Management Conference (PHM-Chongqing)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Integrity Analysis Inspection and Lifecycle Prediction of Subsea Power Cables

AU - Tang, Wenshuo

AU - Brown, Keith Edgar

AU - Flynn, David

AU - Pellae, Hugues

N1 - Funding Information: ACKNOWLEDGMENT This research is partly funded by Scottish and Southern Energy (SSE) (http://sse.com/). The authors from Heriot-Watt University also acknowledge the funding support from the EPSRC project on HOME-Offshore (grant EP/P009743/1) as well as the EPSRC Offshore Robotics for Certification of Assets hub (grant EP/R026173/1). The authors also want to acknowledge the technical support of Hydrason Ltd. Publisher Copyright: © 2018 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

PY - 2019/1/7

Y1 - 2019/1/7

N2 - Subsea power cables are critical assets within the distribution and transmission infrastructure of electrical networks. Based on review of historical failure data, we have discovered that 70% of their failure modes are not monitored by current commercial monitoring systems, which predominately focus on the internal failure modes associated with partial discharge or overheating using online monitoring methods or embedded fibre-optics. In this paper, we proposed a fusion prognostic model for subsea cable lifetime prediction, employing an analytical model which is supported by accelerated aging data. In addition, we presented the preliminary results of our low frequency (LF) sonar analysis of subsea cables with a view to insitu integrity monitoring of cables. Seminal analysis on the echo data allowed us to distinguish cable samples with different types and diameter differentials of 2mm. Future work will focus on the integration and validation of this sonar data into the predictions of a cable's remaining useful life.

AB - Subsea power cables are critical assets within the distribution and transmission infrastructure of electrical networks. Based on review of historical failure data, we have discovered that 70% of their failure modes are not monitored by current commercial monitoring systems, which predominately focus on the internal failure modes associated with partial discharge or overheating using online monitoring methods or embedded fibre-optics. In this paper, we proposed a fusion prognostic model for subsea cable lifetime prediction, employing an analytical model which is supported by accelerated aging data. In addition, we presented the preliminary results of our low frequency (LF) sonar analysis of subsea cables with a view to insitu integrity monitoring of cables. Seminal analysis on the echo data allowed us to distinguish cable samples with different types and diameter differentials of 2mm. Future work will focus on the integration and validation of this sonar data into the predictions of a cable's remaining useful life.

KW - Fusion Modelling

KW - Prognostics

KW - Sensing

KW - Sonar

KW - Subsea Cables

UR - http://www.scopus.com/inward/record.url?scp=85061833986&partnerID=8YFLogxK

U2 - 10.1109/PHM-Chongqing.2018.00024

DO - 10.1109/PHM-Chongqing.2018.00024

M3 - Conference contribution

T3 - Prognostics and System Health Management Conference (PHM-Chongqing)

SP - 105

EP - 114

BT - 2018 Prognostics and System Health Management Conference (PHM-Chongqing)

A2 - Ding, Ping

A2 - Li, Chuan

A2 - Yang, Shuai

A2 - Ding, Ping

A2 - Sanchez, Rene-Vinicio

PB - IEEE

ER -

Tang W, Brown KE , Flynn D, Pellae H. Integrity Analysis Inspection and Lifecycle Prediction of Subsea Power Cables. In Ding P, Li C, Yang S, Ding P, Sanchez RV, editors, 2018 Prognostics and System Health Management Conference (PHM-Chongqing) . IEEE. 2019. p. 105-114. (Prognostics and System Health Management Conference (PHM-Chongqing)). doi: 10.1109/PHM-Chongqing.2018.00024

Integrity Analysis Inspection and Lifecycle Prediction of Subsea Power Cables

Abstract

Publication series

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

David Flynn

Cite this

Integrity Analysis Inspection and Lifecycle Prediction of Subsea Power Cables

Abstract

Publication series

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Profiles

David Flynn

Cite this