Novel Approach to Modal Model Reduction by Means of the Balanced Realization Method. Part 2 - Applications

• Autorzy: Iwaniec J.
• Języki publikacji: EN

Abstrakty

EN

The paper concerns practical applications of the balanced model reduction method presented in the associated paper 'Novel Approach to Modal Model Reduction by Means of the Balanced Realization Method. Part 1 - Theory'. There are presented results of analysis carried out for frequency response functions measured on real mechanical structures such as laboratory frame, parallel milling manipulator and its base. Carried out research proved that created software realizing elaborated model reduction method is an efficient tool supporting selection of poles by means of stabilization diagram method.

Słowa kluczowe

EN

modal analysis; data quality improvement; model reduction; Balanced Realization (BR) method

• Wydawca: Silesian Division of Polish Acoustical Society
• Czasopismo: Molecular and Quantum Acoustics
• Rocznik: 2006
• Tom: Vol. 27
• Strony: 119--132
• Opis fizyczny: Bibliogr. 7 poz., rys.

Twórcy

autor

Iwaniec J.

• Department of Robotics and Mechatronics, AGH University of Science and Technology,Mickiewicz Alley 30, 30 - 059 Krakow, Poland,

Bibliografia

• 1.Goethals I., De Moor B., 2002, Model reduction and energy analysis as a tool to detect spurious modes, Proc. of the International Conference on Noise and Vibration Engineering (ISMA), Leuven, Belgium, 1307-1314.
• 2.Gontier C., 2005, Energetic classifying of vibration modes in subspace stochastic modal analysis, Mechanical Systems and Signal Processing 19, 1-19.
• 3.Iwaniec J., 2005, Methods of Quality Improvement of Modal Model Parameters Estimation (in Polish), ITE, Radom.
• 4.Iwaniec J., 2005, Analysis of parallel milling manipulator dynamic properties by means of the balanced realization method, Acoustics in engineering problems, AGH Publishers, Krakow, 23 - 32.
• 5.Iwaniec J., 2005, Methods of Quality Improvement of Modal Model Parameters Estimation (in Polish), AGH PhD Thesis, Krakow.
• 6.Scionti M., Lanslots J., Goethals I., Vecchio A., Van der Auweraer H., Peeters B., De Moor B., 2003, Tools to Improve Detection of Structural Changes from In-flight Flutter Data, Proceedings of the Eight International Conference on Recent Advances in Structural Dynamics (ISVR), Southampton, UK.
• 7.Uhl T., 1997, Computer Aided Identification of Mechanical Structure Models (in Polish), WNT, Warsaw.