Dynamic reliability framework for resilience assessment for floating offshore wind turbines

Xu, Z, Ou, H, Bashir, M, Beer, M, Wang, J ORCID: 0000-0003-4646-9106 and Yang, Z ORCID: 0000-0003-1385-493X (2026) Dynamic reliability framework for resilience assessment for floating offshore wind turbines. Journal of Reliability Science and Engineering, 2 (3). ISSN 3050-2454

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Abstract

Floating offshore wind turbines (FOWTs) are becoming an important part of future energy systems and can complement conventional energy grids in supporting overall energy safety and security. Understanding the dynamic reliability evolution of FOWTs under hazardous events and degradation-induced failures remains largely unexplored and represents a major scientific challenge. Existing monitoring systems, such as SCADA, have limited capability to identify the true root causes of component-level failures. Consequently, maintenance actions may target incorrect or incomplete failure sources, while undetected root causes may continue to propagate residual damage and accelerate degradation of other components. This study develops a dynamic reliability assessment framework for resilience-oriented recovery management of FOWTs under hazardous conditions. A Bayesian network is employed to represent the hierarchical FOWT system and model the propagation of component-level failures to subsystem- and system-level functionality degradation. During recovery, the framework captures the effects of residual damage from unidentified or incompletely repaired root failures on subsequent reliability evolution. A condition-aware deep inspection module is introduced to represent a PHM-enabled recovery process. Although this strategy requires additional inspection effort and decision-making resources before maintenance, it can more accurately identify root causes and propagation pathways, supporting more effective recovery decisions. A case study demonstrates that system reliability can decrease rapidly when critical components are affected by hazardous events. It further shows that experience-based recovery can partially restore system functionality but may fail to eliminate residual damage when root causes are not fully identified. In contrast, the condition-aware strategy achieves greater reliability restoration by improving root-cause identification and repair effectiveness. The results reveal the importance of integrating condition-aware inspection into post-disaster recovery planning and highlight the value of dynamic reliability assessment for resilience improvement in FOWTs. Specifically, the study provides a quantitative understanding of how PHM performance influences recovery effectiveness and resilience improvement, thereby supporting the evaluation of PHM value in post-disaster recovery management of FOWTs.

Item Type:	Article
Uncontrolled Keywords:	4015 Maritime Engineering; 40 Engineering; 7 Affordable and Clean Energy
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Engineering and Built Environment
Publisher:	IOP Publishing
Date of acceptance:	8 July 2026
Date of first compliant Open Access:	1 September 2026
Date Deposited:	01 Sep 2026 13:56
Last Modified:	01 Sep 2026 13:56
DOI or ID number:	10.1088/3050-2454/ae885a
URI:	https://researchonline.ljmu.ac.uk/id/eprint/29251

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