Integrity Analysis Inspection and Lifecycle Prediction of Subsea Power Cables

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

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.
LanguageEnglish
Title of host publication2018 Prognostics and System Health Management Conference (PHM-Chongqing)
EditorsPing Ding, Chuan Li, Shuai Yang, Ping Ding, Rene-Vinicio Sanchez
PublisherIEEE
Pages105-114
Number of pages10
ISBN (Electronic)9781538653807
DOIs
Publication statusPublished - 7 Jan 2019

Publication series

NamePrognostics and System Health Management Conference (PHM-Chongqing)
PublisherIEEE
ISSN (Electronic)2166-5656

Fingerprint

Cables
Inspection
Sonar
Failure modes
Monitoring
Partial discharges
Fiber optics
Analytical models
Fusion reactions
Aging of materials

Keywords

  • Fusion Modelling
  • Prognostics
  • Sensing
  • Sonar
  • Subsea Cables

ASJC Scopus subject areas

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

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 ; Pellae, Hugues. / 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)).
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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.",
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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; Pellae, Hugues.

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 proceedingConference contribution

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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.

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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 R-V, editors, 2018 Prognostics and System Health Management Conference (PHM-Chongqing) . IEEE. 2019. p. 105-114. (Prognostics and System Health Management Conference (PHM-Chongqing)). https://doi.org/10.1109/PHM-Chongqing.2018.00024