Failure Analysis of Floating Offshore Wind Turbines with Correlated Failures
提出一种考虑相关失效的失效模式与影响分析新方法，用于识别浮式海上风力涡轮机的关键失效，并基于实际风场数据验证其有效性。
A novel failure mode and effect analysis schedule, namely correlated-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.