Failure Analysis of Floating Offshore Wind Turbines with Correlated Failures

Yu Sun, He Li, Liping Sun and C. Guedes Soares

Reliability Engineering and System Safety, 2023, vol. 238, issue C

Abstract: A novel failure mode and effect analysis schedule, namely correlated-Failure Mode and Effect Analysis (FMEA), is proposed to identify critical failures of floating offshore wind turbines with correlated failures. A failure correlation model based on Bayesian networks is first presented as a basis to model common cause failures of floating offshore wind turbines. A new model is then developed to compute the Risk Priority Numbers of failure items, including systems, components, failure modes, and failure causes of floating devices. Critical failures of the holistic devices at all levels are identified with the proposed model and failure data collected from real wind farms. The validation of the results is finalized by a comprehensive comparative analysis with what has been concluded by the existing models, which show that the proposed correlated-FMEA schedule is superior in dealing with correlated failures in the failure analysis of floating offshore wind turbines. Overall, the proposed correlated FMEA approach contributes to the reliability and availability of floating offshore wind turbines and the operation and maintenance of floating wind farms.

Keywords: Floating Offshore Wind Turbine; Failure Analysis; FMEA; Correlated Failures (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:238:y:2023:i:c:s095183202300399x

DOI: 10.1016/j.ress.2023.109485

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