Non-linearity identification and quantification using an inverse fourier transform

It is important to judge whether of not a linear model for a system or structure analysis is adequate. If it is thought that a linear model is not acceptable, a non-linear model should be cosidered for more accurate analysis even if it is more complicated and difficult to handle. There has been much work aimed at finding methods which identify the positions and degrees of non-linearity within a system or structure.
Publisher
Elsevier
Issue Date
1993-05
Citation

Mechanical Systems and Signal Processing, Volume 7, Issue 3, May 1993, Pages 239-255

ISSN
0888-3270
DOI
10.1002/(SICI)1097-4628(19991128)74:9<2113::AID-APP1>3.0.CO;2-4
URI
http://hdl.handle.net/10203/3184
Link
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6WN1-45P696K-V&_user=170364&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000013318&_version=1&_urlVersion=0&_userid=170364&md5=2f902c130690acae585fb035a54ae09e
Appears in Collection
ME-Journal Papers(저널논문)
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