摘要
飞控系统是控制飞机飞行安全的关键系统,对其开展健康管理技术研究有着重要工程意义。针对后缘襟翼位置传感器故障,设计出一种基于主元分析方法的故障预测流程,在故障发生前100个航班左右实现故障的提前预警,并通过某航空公司故障实例进行方法有效性验证。方法的提出为提前安排维修计划、保障飞机的运行安全、提升飞行乘坐体验提供技术支持。
Flight control system is the key system to control the flight safety of aircraft. It has important engineering significance for the research of health management technology. Aiming at the failure of the trailing edge flap position sensor,this paper designs a fault prediction flow based on the principal component analysis method to realize the early warning of the failure about 100 flights before the failure and verify the validity of the method by an example of a certain airline failure. The proposed method provides technical support for arranging the maintenance plan in advance,ensuring the operational safety of the aircraft and enhancing the flight riding experience.
作者
姜朱楠
左洪福
李利荣
高鑫磊
JIANG Zhu- Nan;ZUO Hong- Fu;LI Li- Rong;GAO Xin- Lei(College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;Shanghai Civil Aircraft Health Monitoring Engineering Research Center, Shanghai 200000, China)
出处
《航空计算技术》
2018年第2期75-78,共4页
Aeronautical Computing Technique
基金
2017年研究生创新基金(实验室)开放基金项目资助(kfjj20170712)
关键词
后缘襟翼位置传感器
特征值提取
主元分析法
故障预测
trailing edge flap position sensor
eigenvalue extraction
principal component analysis
fault prediction