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《Electronics Optics & Control》 2007-06
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Application of support vector machines in aircraft condition monitoring

FEI Li-xin,SONG Ji-xue, YU Xing-hua (The Engineering Institute,Air Force Engineering University,Xi'an 710038,China)  
Based on analysis to flight parameters,the theoretical basis for using Support Vector Machines(SVM) in time series prediction is described,and a general framework for time series prediction is introduced in detail.Then we used the SVM prediction model in the forecasting the flight parameters of a certain type of aero-engine,and compared it with the AR prediction model of time series.The conclusion is: compared with the general prediction method,SVM adopts a new type of structural risk minimization principle and owns excellent generalizing capability,long predictable area and high prediction precision,which is of important meanings for study on aircraft condition monitoring.
【Fund】: 陕西省自然科学基金研究计划资助项目(2005F52)
【CateGory Index】: V241.44
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【Co-citations】
China Proceedings of conference Full-text Database 7 Hits
1 ZHU Jiahai~1,XIE Nie~1,YANG Wenjie~2,LI Jun~1 1.The Engineering College,Air Force Engineering University,Xi'an 710038,P.R.China 2.The First Aviation Academy of Air Force,Xinyang 464000,P.R.China;On System Identification of Laser Gyroscope Static Drift[A];[C];2011
2 LIU Rui-yu,YE Zi-wan(Economics and Management School,Wuhan University,Wuhan 430072,China);Development Tendency of Electricity Consumption in Energy-Intensive Industries Based on Hoffman Coefficient[A];[C];2011
3 Luo Nan1 Zhu Yeyu1、2 Du Cai Yue1 1 Xuchang Meteorological Bureau Henan Xuchang 461000 2 Henan Province Climate Center Henan Zhengzhou 450003;Application of Support Vector Machine Method in Electric Load Forecasting[A];[C];2007
4 (0Guangdong Planning and Designing Institute of Telecommunication Co.,Ltd. 510630);Some Effectual Forecasting Algorithms of Mobile Communication Business[A];[C];2008
5 HUANG Yuan-sheng ZHENG Yan QI Jian-xun (School of Business Administration,North China Electric Power University,Baoding 071003,China);Application of LS-SVM in Electricity Demand Forecasting[A];[C];2005
6 LU Shi-kun,LI Xi-hai,NIU chao,CHEN jiao (Second Artillery Engineering University,Xi'an,710025);A Review on the Research of the Nonlinearity and Nonstationarity of Time Series[A];[C];2012
7 Li Qiang;Cheng Feng;Yang Likang;Gao Yugen;Zhang Li;Zhejiang University of Science and Technology;;Application of Support Vector Machine in Gasoline Engine Fault Diagnosis[A];[C];2008
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