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应用科学学报 ›› 2005, Vol. 23 ›› Issue (2): 196-199.

• 论文 • 上一篇    下一篇

基于统计粗集模型的航空发动机维修等级预测方法研究

梁剑1, 左洪福1, 常继百1, 赵红华2, 周左成2   

  1. 1. 南京航空航天大学民航学院, 江苏南京 210016;
    2. 中国东方航空股份有限公司, 上海 200335
  • 收稿日期:2003-11-16 修回日期:2004-05-25 出版日期:2005-03-31 发布日期:2005-03-31
  • 作者简介:梁剑(1975-),男,湖北随州人,博士生,E-mail:toddlj@163.com;左洪福(1959-),男,湖南邵阳人,教授,博导.

A Research on Aero-Engine Maintenance Level Prediction Based on Statistical-Rough Sets Theory

LIANG Jian1, ZUO Hong-fu1, CHANG Ji-bai1, ZHAO Hong-hua2, ZHOU Zuo-cheng2   

  1. 1. Civil Aviation College, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2. China Eastern Airlines Co. LTD., Shanghai 200335, China
  • Received:2003-11-16 Revised:2004-05-25 Online:2005-03-31 Published:2005-03-31

PDF

94

被引次数

17

摘要： 维修成本是航空公司为实现降耗增效关注的重点之一.论文从合理制定航空发动机送修工作包入手,运用统计粗集理论属性重要性判定方法,研究发动机状态参数与各单元体性能之间的内在联系,提出了挖掘两者之间关联规则的方法.文章以GE公司CF6-80C2-A5发动机为例作了实证分析,生成了该型发动机状态参数与单元体性能之间的关联规则.

关键词: 维修成本, 组合模型, 民用飞机, 粗集理论

Abstract: The airlines pay close attention to maintenance cost for efficiency improvement and consumption reduction.In this paper, basing on the theory of rough set, the problem of how to determine proper shop visit workscope before the aero-engine being removed is discussed.The key point is to obtain related rules between the on-conditional parameters and the performance of engine units.The uniformity of rough set and statistical methods are employed to find out the significance of each attributes by its knowledge entropy.The rules can be generated by determining the significant degree of each attribute.According to the experimental results, the proposed new method can improve the prediction accuracy for drawing up shop visit workscope.The method has been partly adopted by airlines, and it is proved to be helpful to reduce the costs of airlines.

Key words: civil airplane, maintenance costs, combination model, rough set

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