摘要
飞机涡轮风扇发动机的组成结构极其精密复杂,且启动系统的健康状态对发动机的影响尤为重大,因此对发动机启动系统的可靠性评估不管是对航空工程的安全性和稳定性,都有着举足轻重的作用。为提高系统可靠性分析的准确性,将原始故障数据进行梯形模糊处理,并结合专家经验进行两种重要度分析和后验概率计算,完成对涡扇发动机启动系统可靠性评估的建模。通过实例验证,对某型航空涡扇发动机的启动系统进行可靠性评估,计算系统中各组件的不同状态对启动系统产生的影响及其重要程度,找出系统易出故障的薄弱环节,为提高整个发动机系统的安全性和可靠性寻找思路与方法。
The structure of aircraft turbofan engine is extremely precise and complex,and the health of the engine's starting system has a particularly important impact on the engine.Therefore,the reliability evaluation of the engine's starting system plays a vital role in the safety and stability of air flight.In order to improve the accuracy of system reliability analysis,trapezoidal fuzzy method is used to process the original fault data.Based on experts′experience,two kinds of importance and the posterior probability are calculated,which complete the modeling of reliability assessment of turbofan engine starting system.By means of example verification,the reliability evaluation of the starting system of a certain type of aero-turbofan engine is carried out,the influence of different states of each component on the starting system and its importance degree are calculated.So we can find the weak links of the starting system that are easy to fail,which can supply us ideas and methods to improve the safety and reliability of the whole engine system.
作者
钱存华
张洋洋
QIAN Cunhua;ZHANG Yangyang(College of Economics and Management,Nanjing Tech University,Nanjing 211816,China)
出处
《机械科学与技术》
CSCD
北大核心
2023年第5期814-820,共7页
Mechanical Science and Technology for Aerospace Engineering
基金
国家自然科学基金项目(71371097)。
关键词
模糊数
贝叶斯网络
重要度
涡扇发动机启动系统
可靠性分析
fuzzy number
bayesian network
importance
turbofan engine starting system
reliability analysis
