【摘要】 针对传统可靠性分析方法在风力机叶片故障数据不充足时存在主观认知偏差和缺少数值求解问题，提出一种基于改进的故障模式、机理与影响分析(FMMEA)的可靠性分析方法。首先，基于潜在故障模式分析确定主要故障模式类型，利用故障机理分析结合有限元分析(FEA)确定主要故障模式的物理模型；然后，通过物理模型构建可靠度数学模型，并对主要故障模型进行可靠性分析；最后，填写FMMEA表和进行反馈分析。通过潜在故障机理结合FEA,确定叶片断裂的主要原因是叶根在循环应力下产生疲劳损伤，据此针对叶根断裂构建可靠性模型。当载荷作用次数n=10~9时，叶片可靠度R=0.998 5,符合实际使用需求。研究通过案例分析验证了所提方法的可行性，可以有效预测和评估叶片可靠性，并为可靠性分析提供新的思路和方法。更多还原

【Abstract】 An improved FMMEA reliability analysis method was proposed to solve the problems of subjective cognitive bias and lack of numerical solution when the traditional reliability analysis method of wind turbine blade fault data is insufficient.First, the main failure mode type was determined based on potential failure mode analysis, and the physical model of the main failure mode was determined by fault mechanism analysis combined with FEA.Then, the mathematical model of reliability was constructed by the physical model and the reliability of the main fault model was analyzed.Finally, the FMMEA form was filled in and conducted feedback analysis.Based on the potential failure mechanism combined with FEA,the main cause of blade fracture was determined to be fatigue damage of blade root under cyclic stress, and a reliability model was built for blade root fracture.When the number of load action is n=10~9,the blade reliability R=0.998 5,which meets the actual usage requirements.This study verified the feasibility of the proposed method through case analysis, which can effectively predict and evaluate blade reliability and provide a new idea and method for reliability analysis.更多还原