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.
引文
[1]吴骥.基于QAR数据的民机襟缝翼系统状态监测方法研究[D].南京:南京航空航天大学,2015.
[2]程科.飞机操纵系统状态监测与故障预测方法研究[D].南京:南京航空航天大学,2014.
[3]梁坤,左洪福,孙见忠,等.基于贝叶斯网络工况分类的民机引气系统异常检测[J].宇航计测技术,2014(6):76-83.
[4]Nishino K,Nayar S K,Jebara T.Clustered Blockwise PCA for Representing Visual Data[J].IEEE Transactions on Pattern Analysis&Machine Intelligence,2005,27(10):1675.
[5]张媛,张燕平.一种PCA算法及其应用[J].计算机技术与发展,2005,15(2):67-68.
[6]Mnassri B,Adel E M E,Ananou B,et al.Fault Detection and Diagnosis Based on PCA and a New Contribution Plot[J].IFAC Proceedings Volumes,2009,42(8):834-839.