Journal ArticleDOI
Modal parameter identification from ambient response
Dar Yun Chiang,Ming Si Cheng +1 more
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This article is published in AIAA Journal.The article was published on 1999-01-01. It has received 19 citations till now. The article focuses on the topics: Modal testing & Modal analysis.read more
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Journal ArticleDOI
System identification of suspension bridge from ambient vibration response
TL;DR: In this article, two output-only time-domain system identification methods are employed to obtain dynamic characteristics of a suspension bridge, namely, the Random Decrement Method combined with the Ibrahim Time Domain (ITD) method and the Natural Excitation Technique (NExT) combined with Eigensystem Realization Algorithm (ERA).
Journal ArticleDOI
Using the cross-correlation technique to extract modal parameters on response-only data
TL;DR: In this article, a frequency-domain poly reference modal identification scheme was proposed by coupling the cross-correlation technique with conventional frequencydomain poly-reference modal extraction under the assumption of white-noise random inputs.
Journal ArticleDOI
Identification of modal parameters from ambient vibration data using eigensystem realization algorithm with correlation technique
Dar Yun Chiang,Chang Sheng Lin +1 more
TL;DR: In this paper, a modification to Eigensystem Realization Algorithm with Data Correlation is proposed for modalparameter identification of structural systems subjected to stationary white-noise ambient vibration.
Journal ArticleDOI
Modal identification from nonstationary ambient response data using extended random decrement algorithm
Chang-Sheng Lin,Dar Yun Chiang +1 more
TL;DR: In this article, the estimation of modal parameters from nonstationary ambient vibration data by applying the random decrement algorithm was studied, where the amplitude-modulating function was extracted from the response and then transformed into stationary ones.
Journal ArticleDOI
A Multiple Random Decrement Method for Modal Parameter Identification of Stay Cables Based on Ambient Vibration Signals
TL;DR: In this article, a mode separation technique was proposed to extract independent contributions to the measured signal of cable from individual modes and a multiple random decrement method was further developed to completely exclude the excitation effect and extract the free vibration response.
References
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Journal ArticleDOI
Digital simulation of random processes and its applications
Masanobu Shinozuka,C.-M. Jan +1 more
TL;DR: In this article, the authors presented an efficient method for digital simulation of general homogeneous processes as a series of cosine functions with weighted amplitudes, almost evenly spaced frequencies, and random phase angles.
Journal ArticleDOI
A Mathematical Basis for the Random Decrement Vibration Signature Analysis Technique
TL;DR: For the particular case of a linear time invariant system excited by a zero-mean, stationary, Gaussian random process, a Randomdec signature of the output is shown to be proportional to the auto-correlation of theoutput.
Related Papers (5)
A method for the direct identification of vibration parameters from the free response
S. R. Ibrahim,E. C. Mikulcik +1 more
An eigensystem realization algorithm for modal parameter identification and model reduction
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