An example of application of soft computing in experimental modal analysis

  • Wojciech Lisowski AGH - University of Science and Technology
  • Grzegorz Góral AGH - University of Science and Technology
  • Tadeusz Uhl AGH - University of Science and Technology

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.

Keywords

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.
Published
Aug 24, 2022
How to Cite
LISOWSKI, Wojciech; GÓRAL, Grzegorz; UHL, Tadeusz. An example of application of soft computing in experimental modal analysis. Computer Assisted Methods in Engineering and Science, [S.l.], v. 14, n. 2, p. 277-292, aug. 2022. ISSN 2956-5839. Available at: <https://cames.ippt.gov.pl/index.php/cames/article/view/831>. Date accessed: 23 dec. 2024.
Section
Articles