基于滑油光谱数据的航空发动机磨损状态研究  

Research on aero-engine wear state based on oil spectrum data

作　　者：李楠[1] 张维亮[1] 张帅[1] 石宏[1] 

机构地区：[1]沈阳航空航天大学航空航天工程学部(院),沈阳110136

出　　处：《沈阳航空航天大学学报》2013年第2期1-3,8,共4页Journal of Shenyang Aerospace University

摘　　要：对某型航空发动机滑油光谱检测得到的数据进行分析,从各个元素间的横向联系为出发点,运用灰色关联度分析的方法对数据进行处理。通过各元素间灰色关联度的变化判断航空发动机的磨损状态,判断的结果与实际磨损状态一致。本文拓宽了灰色关联度分析的应用领域,运用该方法可以更加全面地分析航空发动机工作状态。This paper analyzes the data obtained from inspecting oil spectrum of some aero-engine, and uses the method of grey correlative degree analysis to process the data from the horizontal relations among various elements as the starting point. Aero-engine wear condition is judged by the grey correlative changes, whose results are consistent with the actual wear state. This paper widens the application field of grey correlation degree analysis, through which the working state of aero-engine can be analyzed more comprehensively.

关 键 词：滑油 光谱分析 航空发动机 灰色关联度分析 磨损状态 

分 类 号：V228.2[航空宇航科学与技术—飞行器设计]