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Automatic modal parameter selection using a statistical model and a Kalman filter

Soal, Keith Ian and Govers, Yves and Bienert, Jörg and Bekker, Anriëtte (2018) Automatic modal parameter selection using a statistical model and a Kalman filter. In: Proceedings of ISMA2018 International Conference on Noise and Vibration Engineering, pp. 2967-2977. ISMA 2018 - International Conference on Noise and Vibration Engineering, 17.-19. Sep. 2018, Leuven, Belgien. ISBN 9789073802995

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Abstract

The automation of system identification is important for processing large amounts of data without expert user interaction. Automation is also important to maintain consistency in estimates, especially when investigating trends in data which could be masked by variations of mathematical parameters. This research presents a novel idea to obtain automatic modal parameter estimates based on a data driven statistical model and a Kalman filter. A key objective was to make observed data maximally informative. This lead to the development of a sliding predictive model using an optimized linear regression method to use system inputs which are not included in standard system identification. The method was first demonstrated on a numerical data set where it was found to improve system predictions. The method was then tested on full scale data from the German research vessel Polarstern during a voyage to the Arctic. The automatic Kalman estimates showed improved estimates using the combination of statistical model and modal parameters.

Item URL in elib:https://elib.dlr.de/123019/
Document Type:Conference or Workshop Item (Speech)
Title:Automatic modal parameter selection using a statistical model and a Kalman filter
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Soal, Keith IanKeith.Soal (at) dlr.dehttps://orcid.org/0000-0002-5132-6823
Govers, YvesYves.Govers (at) dlr.dehttps://orcid.org/0000-0003-2236-596X
Bienert, JörgJoerg.Bienert (at) thi.deUNSPECIFIED
Bekker, Anriëtteannieb (at) sun.ac.zaUNSPECIFIED
Date:2018
Journal or Publication Title:Proceedings of ISMA2018 International Conference on Noise and Vibration Engineering
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 2967-2977
ISBN:9789073802995
Status:Published
Keywords:automatic modal analysis, system identification, structural dynamics, Kalman filter, polar vessels
Event Title:ISMA 2018 - International Conference on Noise and Vibration Engineering
Event Location:Leuven, Belgien
Event Type:international Conference
Event Dates:17.-19. Sep. 2018
Organizer:KU Leuven - Department of Mechanical Engineering
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Flight Physics
Location: Göttingen
Institutes and Institutions:Institute of Aeroelasticity > Structural Dynamics and System Identification
Deposited By: Soal, Dr Keith Ian
Deposited On:22 Nov 2018 09:33
Last Modified:26 Nov 2018 14:57

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