Bayesian operational modal analysis: Difference between revisions

Revision as of 07:37, 28 September 2020

Revision as of 08:34, 17 December 2020

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|year=2019

|doi=10.1016/j.ymssp.2019.06.036

|url=}}</ref> show promise for simpler algorithms and reduced coding effort. The fundamental precision limit of OMA has been investigated and presented as a set of '''uncertainty laws''' which can be used for planning ambient vibration tests.<ref name=ulaw2018>

{{cite journal

|last=Au

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|year=2018

|doi=10.1016/j.ymssp.2017.09.017

|url=|hdl=10871/30384

|hdl-access=free

}}</ref>

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|publisher=Kluwer Academic Publisher

|___location=Boston

|url=}}</ref> <ref>

|isbn=

|url=}}</ref> <ref>

{{cite book

|first=M. |last=Schipfors

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|year= 2014

|publisher=Springer

|isbn=

|url=https://www.springer.com/gp/book/9781493907663}}

</ref> <ref>

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|publisher=Cambridge University Press

|___location=United Kingdom

}}

|isbn=

|url=}}

</ref> and Cox<ref name=cox>

{{cite book

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|publisher=Johns Hopkins University Press

|___location=Baltimore

}}

|isbn=

|url=}}

</ref> for Bayesian inference in general.

*See Beck<ref>

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|pages=825–847

|doi=10.1002/stc.424

|url=}}</ref> for Bayesian inference in structural dynamics (relevant for OMA)

*The uncertainty of the modal parameters in OMA can also be quantified and calculated in a non-Bayesian manner. See Pintelon et al.<ref>

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|pages=2359–2373

|doi=10.1016/j.ymssp.2006.11.007

|url=|bibcode=2007MSSP...21.2359P

}}</ref>