基于统计粗集模型的航空发动机维修等级预测方法研究

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.

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

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.