Autonomous Structural Health Monitoring and Remaining Useful Life Estimation of Floating Offshore Wind Turbine Cables: Part II: Conclusions and recommendations from the EU FLOW-CAM project

Metehan Berker; Perin Ünal; Bilgin U. Deveci; Aras Fırat Ünal; Bilgin Avenoğlu; A. Murat Özbayoğlu

doi:10.1595/205651325X17338452917984

ISSN: 2056-5135

oa Autonomous Structural Health Monitoring and Remaining Useful Life Estimation of Floating Offshore Wind Turbine Cables: Part II

Conclusions and recommendations from the EU FLOW-CAM project
Authors: Metehan Berker¹, Perin Ünal¹, Bilgin U. Deveci¹, Aras Fırat Ünal², Bilgin Avenoğlu³ and A. Murat Özbayoğlu⁴
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Affiliations: ¹ TEKNOPAR Industrial Automation, Teknopark Ankara, İvedik OSB Mah. 2224. Cad. No:1 F-48 06378 Yenimahalle, Ankara, Türkiye ² Henry Samueli School of Engineering, Department of Electrical and Computer Engineering, University of California Los Angeles (UCLA), California, 90095, USA ³ TEKNOPAR Industrial Automation, Teknopark Ankara, İvedik OSB Mah. 2224. Cad. No:1 F-48 06378 Yenimahalle, Ankara, Türkiye;, Çankaya University, Eskişehir Road 29. Km. Yukarıyurtçu Neighbourhood Mimar Sinan Street No:4 06790, Etimesgut, Ankara, Türkiye ⁴ TOBB University of Economics and Technology, Söğütözü Street No:43, Söğütözü, 06560, Ankara, Türkiye
Email: *[email protected]
Source: Johnson Matthey Technology Review, Volume 69, Issue 2, Apr 2025, p. 187 - 197
DOI: https://doi.org/10.1595/205651325X17338452917984
- Received: 01 Dec 2023
- Accepted: 08 Apr 2024

Abstract

Part II reports on a new structural health monitoring (SHM) system integrated with a remotely operated vehicle (ROV) developed for underwater inspection and maintenance, part of the FLoating Offshore Wind turbine CAble Monitoring (FLOW-CAM) project, supported by European Union’s HORIZON 2020 programme. Image data from underwater systems are analysed using computer vision techniques. Investigations into cable defect detection and the estimation of corrosion and remaining useful life (RUL) have been held to monitor cable health, achieving results close to reality. FLOW-CAM’s collective works establish a basis for advancing underwater inspection and maintenance, concentrating on the development of practical and effective tools and strategies to optimise the functionality and reliability of floating offshore wind (FOW) farms.

This is an Open Access article distributed in accordance with the Creative Commons Attribution (CC BY 4.0) license. You are free to: share: copy and redistribute the material in any medium or format; adapt: remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: attribution: you must give appropriate credit, provide a link to the license, and indicate if changes were made. See: https://creativecommons.org/licenses/by/4.0/

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References

M. Berker, P. Ünal, G. Ercan, B. U. Deveci, A. F. Ünal, B. Avenoğlu, A. M. Özbayoğlu, Johnson Matthey Technol. Rev., 2025, 69, (1), 170 LINK https://doi.org/10.1595/205651324X17125869817025
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/content/journals/10.1595/205651325X17338452917984

Autonomous Structural Health Monitoring and Remaining Useful Life Estimation of Floating Offshore Wind Turbine Cables: Part II

Johnson Matthey Technology Review 69, 187 (2025); https://doi.org/10.1595/205651325X17338452917984

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Article Type: Research Article

Keyword(s): cable detection; cable tracking; submarine predictive cable maintenance; underwater cables

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oa Autonomous Structural Health Monitoring and Remaining Useful Life Estimation of Floating Offshore Wind Turbine Cables: Part II

Conclusions and recommendations from the EU FLOW-CAM project

Abstract

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