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Automated optimization of output only modal parameter identification

Volkmar, Robin and Soal, Keith Ian and Hughes, Lloyd H. and Govers, Yves and Böswald, Marc (2019) Automated optimization of output only modal parameter identification. In: Proceedings of the 8th International Operational Modal Analysis Conference (IOMAC). IOMAC 2019 - 8th International Operational Modal Analysis Conference, 13.-15. Mai 2019, Kopenhagen, Dänemark.

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Abstract

The automation of modal parameter identification is important for processing big data with repeatability and without time consuming user interaction. This becomes even more important for complex structures whose modal parameters must be monitored in operation. During modal identification optimal poles have to be found out of many possibilities. For most real world examples with a huge amount of candidate poles the optimal solution cannot be calculated in reasonable time. This paper describes a method for the autonomous selection of optimal parameters within reasonable time constraints. The method modifies the idea of error propagation usually applied in training artificial neural networks. Poles are selected pseudo randomly and an error is calculated based on the difference between the synthesized and measured Cross Power Spectral Densities (CPSDs). This overall error is spread over the selected poles based on the poles influence on the error, i.e. the poles are assigned weights depending on their goodness. This random selection is repeated iteratively until the weights converge. The poles with best weights are selected as the final solution. The method was tested on simulated data and laboratory data from the DLR AIRcaft MODel (AIRMOD) structure and compared to other pole selection methods. The method provides equally good estimations of eigenfrequencies and better damping estimates than the other tested methods.

Item URL in elib:https://elib.dlr.de/127598/
Document Type:Conference or Workshop Item (Speech)
Title:Automated optimization of output only modal parameter identification
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Volkmar, Robinrobin.volkmar (at) dlr.dehttps://orcid.org/0000-0002-5920-0686
Soal, Keith IanKeith.Soal (at) dlr.dehttps://orcid.org/0000-0002-5132-6823
Hughes, Lloyd H.lloyd.hughes (at) tum.dehttps://orcid.org/0000-0003-0293-4491
Govers, YvesYves.Govers (at) dlr.dehttps://orcid.org/0000-0003-2236-596X
Böswald, Marcmarc.boeswald (at) dlr.dehttps://orcid.org/0000-0001-8260-8623
Date:May 2019
Journal or Publication Title:Proceedings of the 8th International Operational Modal Analysis Conference (IOMAC)
Refereed publication:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:operational modal analysis, automated modal analysis, optimized modal parameter identification; output-only modal analysis; flight vibration testing
Event Title:IOMAC 2019 - 8th International Operational Modal Analysis Conference
Event Location:Kopenhagen, Dänemark
Event Type:international Conference
Event Dates:13.-15. Mai 2019
Organizer:Technical University of Denmark
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: Volkmar, Robin
Deposited On:06 Jun 2019 09:34
Last Modified:26 Jul 2019 16:28

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