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Parameter Estimation Techniques for Modal Analysis

Authors: D. L. Brown; R. J. Allemang; Ray Zimmerman; M. Mergeay;

Parameter Estimation Techniques for Modal Analysis

Abstract

<div class="htmlview paragraph">Parameter estimation techniques that can be used to determine modal parameters (frequency, damping, and mode shape) from experimentally measured frequency response or unit impulse response are presented with respect to practical implementation and use. The methods are separated into two categories:</div> <div class="htmlview paragraph"> <ol class="list nostyle"> <li class="list-item"> <span class="li-label">1)</span> <div class="htmlview paragraph">A curve fit of only one degree of freedom with or without residuals.</div> </li> <li class="list-item"> <span class="li-label">2)</span> <div class="htmlview paragraph">A curve fit of multiple degrees of freedom with or without residuals.</div> </li> </ol> </div> <div class="htmlview paragraph">Particular details are given with respect to multiple degree of freedom techniques utilizing the Complex Exponential algorithm.</div>

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
135
Top 1%
Top 0.1%
Average
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