Department of Automation, Northwestern Polytechnic University, Xi’an 710072, China;2 The Engineering Institute, AFEU. , Xi’an 710038, China
{{custom_zuoZheDiZhi}}
{{custom_authorNodes}}
{{custom_bio.content}}
{{custom_bio.content}}
{{custom_authorNodes}}
Show less
History+
Received
Revised
Published
2008-03-24
2008-06-03
2009-02-25
Issue Date
2009-02-25
Abstract
Hankel matrix is combined with SVD for denoising fight flutter testing data corrupted by noise, in order to improve the precision of identifying flutter modal parameters. Firstly Hankel matrix made of measured data is used in SVD; then on the basis of the extent of mastering the statistic property of noise, two different methods respectively based on the statistic property of noise and a sudden change of singular value varying curve are used, the Hankel matrix is divided into two uncorrelated spaces, real signal space and noise space; finally the denoising singal is constructed with a average algorithm in real signal space. According to the results of numerical simulation and application in fight flutter testing data, the influence of different dimensions of Hankel matrix on division of spaces and denoising effect is analyzed and studied , feasibility and effectiveness of the denoising methed are showed.