A comparison of correlation technique and random decrement algorithm for modal identification from nonstationary ambient vibration data only

Chang Sheng Lin, Tse Chuan Tseng, June Rong Chen, Dar Yun Chiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Modal identification from response data only is studied for structural systems under nonstationary ambient vibration. By assuming the ambient excitation to be nonstationary white noise in the form of a product model and introducing a technique of curve fitting, the practical problem of insufficient data samples available for evaluating nonstationary correlation functions or randomdec signatures can be approximately resolved by first extracting the amplitude-modulating function from the response and then transforming the nonstationary responses into stationary ones. Modal-parameter identification can then be performed using the Ibrahim time-domain method in conjunction with the correlation technique and random decrement algorithm, respectively. A comparison of correlation technique and random decrement algorithm is demonstrated through numerical simulations, which also confirm the validity of the proposed method for identification of modal parameters from nonstationary ambient response data.

Original languageEnglish
Title of host publicationIntelligent Technologies and Engineering Systems
Pages755-764
Number of pages10
DOIs
Publication statusPublished - 2013 Aug 8
Event2012 1st International Conference on Intelligent Technologies and Engineering Systems, ICITES 2012 - Changhua, Taiwan
Duration: 2012 Dec 132012 Dec 15

Publication series

NameLecture Notes in Electrical Engineering
Volume234 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other2012 1st International Conference on Intelligent Technologies and Engineering Systems, ICITES 2012
CountryTaiwan
CityChanghua
Period12-12-1312-12-15

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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