An example of application of soft computing in experimental modal analysis
Abstract
The paper deals with application of AI tools in experimental modal analysis. The example of Stabilization Diagram processing, that is an intermediate stage of m,odal parameter estimation procedure, was selected. In order to automate decision-making carried out during Stabilization Diagram processing a set of tools employing: fuzzy reasoning and artificial neural nets was applied. The application of these tools enabled to ease and shorten execution time of Stabilization Diagram processing. Additionally, the result of processing has become operator-independent.
References
[1] B. Cauberghe. Applied Frequency-domain System Identification in the Field of Experimental and Operational Modal Analysis, PhD thesis. Vrije Universiteit Brussel, 2004
[2] KS. Chhipwadia, D.C. Zimmerman, G.H. James III. Evolving autonomous modal parameter estimation. Proc. of 17th IMAC, SEM USA, 819-825, 1999.
[3] I. Goethals, B. Vanluyten, B. De Moor. Reliable spurious mode rejection using self learning algorithms. Proc. of ISMA2004, KU. Leuven, 991-1003 , 2004
[4] W. Heylen, S. Lammens, P. Sas. Modal Analysis Theory and Testing. KU. Leuven, Departement Werktuigkunde, Leuven, 1997
[5] G.J. Klir, B. Yuan. Fuzzy Sets and Fuzzy Logic. Prentice Hall. 1995.
[2] KS. Chhipwadia, D.C. Zimmerman, G.H. James III. Evolving autonomous modal parameter estimation. Proc. of 17th IMAC, SEM USA, 819-825, 1999.
[3] I. Goethals, B. Vanluyten, B. De Moor. Reliable spurious mode rejection using self learning algorithms. Proc. of ISMA2004, KU. Leuven, 991-1003 , 2004
[4] W. Heylen, S. Lammens, P. Sas. Modal Analysis Theory and Testing. KU. Leuven, Departement Werktuigkunde, Leuven, 1997
[5] G.J. Klir, B. Yuan. Fuzzy Sets and Fuzzy Logic. Prentice Hall. 1995.
Published
2022-08-24
Issue
pp. 277-292
Section
Articles
License
Copyright © The Author(s).
This work is licensed under the Creative Commons Attribution 4.0 International CC BY 4.0.
How to Cite
Lisowski, W., Góral, G., & Uhl, T. (2022). An example of application of soft computing in experimental modal analysis. Computer Assisted Methods in Engineering and Science, 14(2), 277-292. https://cames3.ippt.pan.pl/index.php/cames/article/view/831
