基于模糊故障树和因子化分析的重复使用火箭发动机失效模式

• 作 者: 侯金丽 金平 蔡国飙
• 机 构: 北京航空航天大学宇航学院,
• 出 处: 航空动力学报
• 发表日期: 2014年04期
• 关键词: 因子化 涡轮泵 失效模式 故障树分析法 模糊故障树分析 轴承失效 重要度 主要组件 因子化分析 故障树分析

为确定发动机薄弱环节,指导重复使用火箭发动机可靠性设计,以航天飞机主发动机为研究对象,通过模糊故障树分析法和因子化分析法对发动机主要组件的关键失效模式进行研究.结果表明:模糊故障树分析法给出关键重要度最高的底事件为由剥落、凹坑、磨损和腐蚀致高压氧化剂涡轮泵的轴承失效;因子化分析法通过考虑风险、时间和概率3种因素综合评估出发动机系统中的综合因子最高的失效模式为涡轮叶片失效.

In order to determine the engine weakness and guide the reliability design of the rocket engine repeatedly, the main engine of the space shuttle was taken as the research object, and the key failure modes of the main engine components were studied by fuzzy fault tree analysis and factorization analysis.The results showed that: Fault tree analysis gives the most critical bottom-end events as bearing failure due to exfoliation, dent, wear, and corrosion of the high-pressure oxidant turbo-pump; Factorization analyzes the engine by comprehensively considering the three factors of risk, time and probability The highest failure factor in the system is the turbine blade failure.