Analysis of Dynamics of Vibratory Machines Applaying Vision Based Measurements

• Autorzy: Giergiel M , Kohut P
• Języki publikacji: EN

Abstrakty

EN

In this paper the some practical application of measurement vision techniques useful for measurement of dynamics properties of vibration of vibratory machine working under normal operating conditions was shown and practically tested. Developed methods and algorithms were working with the usage of only one camera and was compared with measurements done with classical accelerometer based measuring system. Obtained results can be useful in the implementation of control and diagnostics systems for vibratory machines.

Słowa kluczowe

EN

vision measurements; vibration measurements; planar homography mpping; digital image processing

PL

cyfrowe przetwarzanie obrazu; pomiary drgań; pomiary wizyjne

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Mechanics and Mechanical Engineering
• Rocznik: 2011
• Tom: Vol. 15, nr 4
• Strony: 43--50
• Opis fizyczny: Bibliogr. 10 poz.

Twórcy

autor

Giergiel M

• AGH University of Science and Technology Department of Robotics and Mechatronics

autor

Kohut P

• AGH University of Science and Technology Department of Robotics and Mechatronics

Bibliografia

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• [3] Giergiel, M. and Kohut, P.: Optical 3D measurement of amplitude of vibrations, Polish Journal of Environmental Studies, vol.20, no.5A, 61-65, 2011.
• [4] Kohut, P.: 3D measurements and motion analysis supported by passive vision techniques, Computer Assisted Mechanics and Engineering Sciences, Vol.14, no.4, 637-649, 2007.
• [5] Kohut, P. and Kurowski, P.: Application of modal analysis supported by 3D vision-based measurements, Journal of Theoretical and Applied Mechanics, vol.47, no.4, 855-870, 2009.
• [6] Jahne, B.: Digital image processing: concepts, alghorithms, and scientific application, Springer-Verlag, Berlin, 1995.
• [7] Hartley and Zisserman, A.: Multiple View Geometry in Computer Vision, Cambridge Univ Press, 2004.
• [8] Trucco, E. and Verri, A.: Introductory Techniques for 3D Computer Vision, Prentice-Hall, 1998.
• [9] Ma, Y., Soatto, S., Kostecka, J. and Sastry, S.: An invitation to 3D Vision, Springer-Verlag, New York, 2004.
• [10] www.vision.caltech.edu/bouguetj