基于Bayes理论的航空发动机涡轮叶片维修决策  

Maintenance Decision of Aeroengine Turbine Blade Based on Bayes Theory

作　　者：黄燕晓[1] 董成利[1] 张敬美[1] 

机构地区：[1]中国民航大学职业技术学院,天津300300

出　　处：《航空发动机》2009年第2期47-49,15,共4页Aeroengine

摘　　要：为了更可靠、更经济地实施航空发动机涡轮叶片维修决策,对Bayes统计推断理论在维修中的应用进行了探索。通过仿真试验,对比分析了维修人员在常规情况下根据维修经验和通过采样对叶片维修策略的选择。试验结果表明,基于Bayes统计推断理论的方法,对于航空公司决策者或维修人员进行维修决策是可行的和方便的。The Bayes statistical inference theory was explored in the maintenance application to conduct the maintenance decision of an aeroengine turbine blade more reliably and economically. The selection of blades maintenance decision was compared and analyzed based on the maintenance experience and the sample in the conventional condition by the simulation test. The results show that the method based on Bayes statistical inference theory is feasible and convenient for the maintenance decision of the airlines leaders and maintainers.

关 键 词：涡轮叶片 Bayes理论 维修决策 先验概率 后验概率 

分 类 号：V23[航空宇航科学与技术—航空宇航推进理论与工程] TP271.4[自动化与计算机技术—检测技术与自动化装置]