Quantitative study on the modal parameters estimated using the PLSCF and the MITD methods and an automated modal analysis algorithm

Silas Sverre Christensen*, Stefano Manzoni, Marcello Vanali, Alfredo Cigada, Anders Brandt

*Corresponding author for this work

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

Abstract

There are many advanced algorithms used to estimate modal parameters. In this paper, the modal parameters extracted from the Poly-reference Least Squares Complex Frequency (PLSCF) algorithm and the Multi-reference Ibrahim Time Domain (MITD) algorithm, are compared. The former, is widely used in the industry and is known to produce almost crystal clear stabilization diagrams with barely any spurious pole estimates. The latter, is less common and the stabilization diagrams typically contain some spurious pole estimates. An Automated Modal Analysis (AMA) algorithm, that utilizes the statistical representation of the pole estimates combined with a number of decision rules based on the Modal Assurance Criteria (MAC), is employed, to detect probable physical poles. Simulated data from a Plexiglas plate is used in the study. Results indicate that the absolute bias error associated with the modal parameter estimates output by the PLSCF algorithm is higher than the bias error related to the modal parameter estimates output by the MITD algorithm. It was not conclusive which of the two methods that had the lowest random error. It should also be mentioned that, while the MITD algorithm could process all references and responses, the PLSCF algorithm relied strongly on a delicate selection of representative references and that not too many references were used.
Original languageEnglish
Title of host publicationTopics in Modal Analysis & Testing, Vol. 8 : Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020
EditorsBrandon J. Dilworth, Michael Mains
Volume8
PublisherSpringer
Publication date2021
Pages159-168
ISBN (Print)978-3-030-47716-5
ISBN (Electronic)978-3-030-47717-2
DOIs
Publication statusPublished - 2021
Event38th International Modal Analysis Conference (IMAC) - Houston, United States
Duration: 10. Feb 202013. Feb 2020
Conference number: 38

Conference

Conference38th International Modal Analysis Conference (IMAC)
Number38
CountryUnited States
CityHouston
Period10/02/202013/02/2020
SeriesConference Proceedings of the Society for Experimental Mechanics Series
ISSN2191-5644

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