Stabilization diagrams using operationalmodal analysis and sliding filters

Peter Olsen, Martin O. Juul, Marius Tarpø, Rune Brincker

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper presents a filtering technique for doing effective operational modal analysis. The result of the filtering method is construction of stabilization diagram that clearly separates physical poles from spurious noise poles needed for unbiased fitting. A band pass filter is moved slowly over the entire frequency spectrum of the measured data, and poles in the band are identified for each new filter position. In this way all poles are identified many times, making the physical poles stand out to make them immediately identifiable. The technique is illustrated using the Time Domain Poly Reference(TDPR) system identification algorithm on simulated data.
Original languageEnglish
Title of host publicationIOMAC 2017 - 7th International Operational Modal Analysis Conference
Number of pages4
Publication date2017
Pages88-91
ISBN (Print)978-1-5108-4163-5
Publication statusPublished - 2017
Event7th International Operational Modal Analysis Conference - Ingolstadt, Germany
Duration: 10 May 201712 May 2017
Conference number: 7

Conference

Conference7th International Operational Modal Analysis Conference
Number7
CountryGermany
CityIngolstadt
Period10/05/201712/05/2017

Cite this

Olsen, P., Juul, M. O., Tarpø, M., & Brincker, R. (2017). Stabilization diagrams using operationalmodal analysis and sliding filters. In IOMAC 2017 - 7th International Operational Modal Analysis Conference (pp. 88-91)