首页|Review on uncertainty analysis and information fusion diagnosis of aircraft control system
Review on uncertainty analysis and information fusion diagnosis of aircraft control system
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
万方数据
维普
In the aircraft control system,sensor networks are used to sample the attitude and environmental data.As a result of the external and internal factors(e.g.,environmental and task complexity,inaccurate sensing and complex structure),the air-craft control system contains several uncertainties,such as imprecision,incompleteness,redundancy and randomness.The information fusion technology is usually used to solve the uncer-tainty issue,thus improving the sampled data reliability,which can further effectively increase the performance of the fault diag-nosis decision-making in the aircraft control system.In this work,we first analyze the uncertainties in the aircraft control system,and also compare different uncertainty quantitative methods.Since the information fusion can eliminate the effects of the uncertainties,it is widely used in the fault diagnosis.Thus,this paper summarizes the recent work in this aera.Furthermore,we analyze the application of information fusion methods in the fault diagnosis of the aircraft control system.Finally,this work identi-fies existing problems in the use of information fusion for diagno-sis and outlines future trends.
aircraft control systemsensor networksinforma-tion fusionfault diagnosisuncertainty
ZHOU Keyi、LU Ningyun、JIANG Bin、MENG Xianfeng
展开 >
College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
Avic Xi'an Flight Automatic Control Research Institute,Xi'an 710076,China
National Natural Science Foundation of ChinaAeronautical Science Foundation of ChinaChina Scholarship Council
万方数据
维普
