|Table of Contents|

[1] Du Xiuli, Wang Fengquan,. Modal identification to non-stationary random excitationbased on wavelet transform and co-integration theory [J]. Journal of Southeast University (English Edition), 2007, 23 (4): 583-587. [doi:10.3969/j.issn.1003-7985.2007.04.021]
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Modal identification to non-stationary random excitationbased on wavelet transform and co-integration theory()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
23
Issue:
2007 4
Page:
583-587
Research Field:
Mechanical Engineering
Publishing date:
2007-12-30

Info

Title:
Modal identification to non-stationary random excitationbased on wavelet transform and co-integration theory
Author(s):
Du Xiuli1 2 Wang Fengquan1
1School of Civil Engineering, Southeast University, Nanjing 210096, China
2College of Mathematics and Computer Science, Nanjing Normal University, Nanjing 210097, China
Keywords:
modal identification wavelet transform non-stationary random excitation co-integration NExT method
PACS:
TH113.1;O324
DOI:
10.3969/j.issn.1003-7985.2007.04.021
Abstract:
A kind of method of modal identification subject to ambient excitation is presented.A new synthesis stationary signal based on structural response wavelet transform and wavelet coefficient processes co-integration is obtained.The new signal instead of structural response is used in identifying the modal parameters of a non-stationary system, combined with the method of modal identification under stationary random excitation—the NExT method and the adjusted continuous least square method.The numerical results show that the method can eliminate the non-stationarity of structural response subject to non-stationary random excitation to a great extent, and is highly precise and robust.

References:

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Memo

Memo:
Biography: Du Xiuli(1974—), female, graduate, lecturer, duxiuli@njnu.edu.cn.
Last Update: 2007-12-20