航空发动机在翼清洗时机Wiener预测模型研究  

Research on Aero-Engine On-Wing Cleaning Time Wiener Prediction Model

作　　者：闫锋[1] 姚星宇 YAN Feng;YAO Xing-yu(Aviation Engineering Institute,Civil Aviation Flight University of China,Sichuan Guanghan 618307,China)

机构地区：[1]中国民用航空飞行学院航空工程学院,四川广汉618307

出　　处：《机械设计与制造》2022年第6期45-47,53,共4页Machinery Design & Manufacture

基　　金：工信部民机专项(MJ-2018-Y-56);中国民用航空飞行学院科研项目(J2014-31、J2018-57、Q2015-057)。

摘　　要：为实现发动机在翼清洗由传统固定时间间隔向柔性时间间隔的转变,降低成本和碳排放量,利用发动机性能参数-排气温度裕度(EGTM),基于节省燃油量的成本、延长在翼时间节省的大修成本及清洗成本三者总和最小,得到发动机性能参数(EGTM)阀值,通过Wiener退化模型模拟EGTM参数衰退规律,融合运行数据预测最佳清洗时机。最后通过采用此方法清洗的80台发动机运行数据与未采用此方法清洗的108架飞机的数据作为对比,结果表明前者衰退速率慢,表明该方法较好。In order to change the traditional fixed time interval to flexible time interval,reduce the cost and carbon emission,the engine performance parameter-exhaust gas temperature margin(EGTM)was used,based on the best summation of the fuel saving cost and the overhaul cost and the cleaning cost of extending the time on the wing,the EGTM threshold value was obtained,fusing operation data to predict the best cleaning time.Finally,80 engines operation data cleaned by this method are compared with the data of 108 aircrafts which have not been cleaned by this method. The results show that the former has a slower performance degradation rate,which indicates that this method is better.

关 键 词：发动机清洗 柔性时间间隔 wiener预测 排气温度裕度 

分 类 号：TH16[机械工程—机械制造及自动化] V263[航空宇航科学与技术—航空宇航制造工程]