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基于广义回归神经网络的飞参数据预处理
引用本文:曲建岭,唐昌盛,李万泉,高峰. 基于广义回归神经网络的飞参数据预处理[J]. 航空计算技术, 2008, 38(2): 27-29,33
作者姓名:曲建岭  唐昌盛  李万泉  高峰
作者单位:海军航空工程学院,青岛分院航空仪表与控制工程教研室,山东,青岛,266041
摘    要:由于存在干扰,飞参系统记录的发动机参数中,经常会有不少间断点和奇异值.为了利用数据对发动机性能趋势进行预测,必须对数据进行预处理.分析了航空发动机作为一个系统,其各主要输入和输出参数之间存在的函数关系.研究了利用广义回归神经网络和参数之间的关系对数据进行预处理,结果得到了较为正常的数据,证明该方法是有效的.

关 键 词:飞参数据  广义回归神经网络  预处理  航空发动机
文章编号:1671-654X(2008)02-0027-03
修稿时间:2008-01-03

Flight Data Pretreatment Based on Generalized Regression Neural Network Approaching
QU Jian-ling,TANG Chang-sheng,LI Wan-quan,GAO Feng. Flight Data Pretreatment Based on Generalized Regression Neural Network Approaching[J]. Aeronautical Computer Technique, 2008, 38(2): 27-29,33
Authors:QU Jian-ling  TANG Chang-sheng  LI Wan-quan  GAO Feng
Affiliation:QU Jian-ling,TANG Chang-sheng,LI Wan-quan,GAO Feng(Qingdao Branch,Naval Aeronautical Engineering Academy,Qindao 266041,China)
Abstract:A FDR(flight data recorder) records data of some parameter of an aeroengine.Because of jamming,there are some abnormal data in flight data.The data must be pretreated so that it can be used to forecast performance trends of an aeroengine.The interrelation between the inputs and outputs of a system of an aeroengine was analysed.Pretreatment of flight data using Generalized Regression Neural Network was studied on the base of relation of parameters.As a result,normal data is worked out.It was proved that the ...
Keywords:flight data  generalized regression neural network  pretreatment  aeroengine  
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