Evaluation of Dynamic Parameters of Mechanical Constructions Based on Wavelet Analysis of Vibration Signals

• Autorzy: Bartmański C. , Staniek A.
• Języki publikacji: EN

Abstrakty

EN

The paper presents the test procedure for determining dynamic parameters of mechanical structures, by using the method of wavelet analysis of vibration signals as a response of the construction to impulse excitation. Basic mathematical foundations have been shown for a mechanical system with one degree of freedom and its generalization for mechanical systems with many degrees of freedom. The correct functioning of the programme, which is the implementation of procedure for the MATLAB platform, has been tested with the help of programmable simulation of vibration signals and sinusoidal mechanical signals. The author has presented the results of the identification of dynamic parameters of two, selected mechanical structures: a free hanging steel plate and an acoustic screen. The results have been verified by comparing them with those obtained by modal analysis.

Słowa kluczowe

EN

vibroacoustics; digital signal processing; wavelet analysis

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2016
• Tom: Vol. 62, No. 9
• Strony: 297--302
• Opis fizyczny: Bibliogr. 3 poz., rys., tab., wykr., wzory

Twórcy

autor

Bartmański C.

• Central Mining Institute, Department of Technical Acoustics and Laser Technique, 1 Plac Gwarków Sq., 40-166 Katowice

autor

Staniek A.

• Central Mining Institute, Department of Technical Acoustics and Laser Technique, 1 Plac Gwarków Sq., 40-166 Katowice

Bibliografia

• [1] Białasiewicz J. T.: Falki i aproksymacje. WNT, ISBN 83-204-2971-4, pp. 253. Warsaw, 2004r. (in Polish)
• [2] Staszewski W. J.: Identification of Damping in MDOF Systems Using Time-Scale Decomposition. Journal of Sound and Vibration 203(2), p. 283-305, 1997.
• [3] Boltežar M., Slavič J.: Enhancements to the Continuous Wavelet Transform for Damping Identifications on Short Signals. Mechanical Systems and Signal Processing 18, p. 1065-1076, 2004.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).