基于改进FMECA的多电飞机起动/发电系统风险评估OACSTPCD

In view of the existing fault modes effects and criticality analysis(FMECA)defects with strong sub-jectivity and inaccurate assessment results,an improved FMECA risk assessment method is proposed.This method utilizes Kendall coordination coefficient for consistency analysis and weight allocation of expert scoring,and employs the technique for order preference by similarity to ideal solution(TOPSIS)based on Mahalanobis distance for fault mode risk level ranking.Based on the detail analysis of the fault modes in the starter/genera-tor system of more electric aircraft,including their occurrence probability,severity of occurrence,and detect-ability,the weights of expert judgement data is calculated and the risk level ranking is studied.Focusing on the fault modes of the starter/generator system of more electric aircraft,a weighted relative closeness-based uncer-tainty quantification method is adopted to compare the improved FMECA method with existing FMECA and fuzzy FMECA methods.The results demonstrate a significant reduction in the uncertainty quantification index of the improved method,leading to more reliable risk assessment outcomes.