On the identification of composite beam dynamics based upon experimental data

• Autorzy: Dobrzański L. A. , Honysz R. , Fassois S.
• Języki publikacji: EN

Abstrakty

EN

Purpose: Article describes kinds and use procedures of mathematical parametric models describing dynamics of the systems based on excitation and vibration response signals. Design/methodology/approach: As a sample of identification of mathematical parametric models and estimation their parameters was a composite beam investigated under a white noise excitation force activity. Findings: Model based identification leads to finitely parameterised models described by differential equations. Research limitations/implications: Such models provide important features, in comparison with non-parametric systems: direct relationship with differential equation or physically significant modal representations used in engineering analysis, improved accuracy and frequency resolution, compactness/parsimony of representation. Practical implications: Ability to provide complete system characterisation by relatively few parameters, suitability for analysis, prediction, fault detection and control. Originality/value: Article is valuable for persons, that are interesting for identification of mathematical parametric models and vibration systems.

Słowa kluczowe

EN

computational material science and mechanics; numerical techniques; parametric identification; model estimation; vibration

PL

komputerowa nauka o materiałach; techniki numeryczne; identyfikacja parametryczna; ocena modelu; wibracja

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2006
• Tom: Vol. 16, nr 1-2
• Strony: 114--123
• Opis fizyczny: Bibliogr. 11 poz., rys., tab.

Twórcy

autor

Dobrzański L. A.

• Division of Materials Processing Technology and Computer Techniques in Materials Science, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland

autor

Honysz R.

• Division of Materials Processing Technology and Computer Techniques in Materials Science, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland

autor

Fassois S.

• Department of Mechanical Engineering & Aeronautics, University of Patras, GR 265 00, Patras, Greece

Bibliografia

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• [2] L. Ljung, „Matlab, The Language For Technical Computing”, The MathWorks Inc. 1998.
• [3] S.D. Fassois, „Identification, model based methods”, Academic Press, 10 (2001) 673-686
• [4] J.S. Sakellariou, S.D. Fassois, “Fault Detection and Identification in a Scale Aircraft Skeleton Structure via a Functional Model Based Method”, International Conference on Noise and Vibration Engineering, Leuven, Belgium, 2004
• [5] V. Paktos, S.D. Fassois, „Multichannel Identification Of Aircraft Skeleton Structures Under Unobservable Excitation: A Vector AR/ARMA Framework”, Mechanical System And Signal Processing, 17 (2003) 1271-1290,
• [6] M. Viberg, „Subspace-based methods for the Identification of Linear Time-invariant Systems” Automatica Vol: 31, Issue: 12, December, 1995 pp. 1835-1851
• [7] Siettos, C.I.; Bafas, G.V.; Boudouvis, A.G., "Truncated Chebyshev series approximation of fuzzy systems for control and nonlinear system identification" Fuzzy Sets and Systems 2002 pp. 89-104
• [8] C.F. Hung,; W.J. Ko,; C.H. Tai, , "Identification of dynamic systems from data composed by combination of their response compoments" Engineering Structures 2002 pp. 1441-1450
• [9] Fung, E.H.K. Chan, J.C.K.” ARX Modelling and Compensation of Roundness Errors in Taper Turning”, International Journal of Advanced Manufacturing Technology, Vol: 16, Issue: 6, May 23, 2000, pp. 404 - 412
• [10] http://www.mathworks.com/access/helpdesk/help/techdoc/matlab.shtml - (MATLAB documentation).
• [11] http://www.mathworks.com/access/helpdesk/help/helpdesk.shtml - (Toolbox documentation),