Abstract
Vibration measurements using optical full-field systems based on high-speed footage are typically heavily burdened by noise, as the displacement amplitudes of the vibrating structures are often very small (ranging in micrometers, depending on the structure) and therefore troublesome to measure as they are close or bellow the noise level of the measurement system. This paper demonstrates the modal parameter identification on such noisy measurements. It is shown that by using state of the art identification methods (Least Squares Complex Exponential or Least Squares Complex Frequency combined with Least Squares Frequency Domain), identification is still possible. The modal parameter identification improves the quality of the measured modal data and serves as a reduced model of the structures dynamics.
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References
Siebert, T., Wood, R., Splitthof, K.: High speed image correlation for vibration analysis. J. Phys. 181 (1), 1589–1603 (2009)
Pan, B., Tian, L., Song, X.: Real-time, non-contact and targetless measurement of vertical deflection of bridges using off-axis digital image correlation. NDT&E Int. 76, 73–80 (2016)
Yang, Y., Dorn, C., Mancini, T., Talken, Z., Kenyon, G., Farrar, C., Mascarenas, D.: Blind identification of full-field vibration modes from video measurements with phase-based video motion magnification. Mech. Syst. Signal Process. 85, 567–590 (2017)
Peters, W., Ranson, W.: Digital imaging techniques in experimental stress analysis. Opt. Eng. 21 (3), 427–432 (1982)
Lucas, B., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: International Joint Conference on Artificial Intelligence, pp. 674–679 (1981)
Horn, B., Schunck, B.: Determining optical flow. In: Technical Symposium East. International Society for Optics and Photonics, pp. 319–331 (1981)
Fleet, D., Jepson, A.: Computation of component image velocity from local phase information. Int. J. Comput. Vis. 5 (1), 77–104 (1990)
Brown, D., Allemang, R., Zimmerman, R., Mergeay, M.: Parameter estimation techniques for modal analysis, SAE Technical paper (1979)
Guillaume, P., Verboven, P., Vanlanduit, S.: Frequency-domain maximum likelihood identification of modal parameters with confidence intervals. In: Proceedings of ISMA, vol. 23, pp. 16–18 (1998)
Javh, J., Slavič, J., Boltežar, M.: Determining subpixel full-field displacements from videos by using optical flow. In: Proceedings of ICoEV 2015 International Conference on Engineering Vibration, pp. 1589–1603 (2015)
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© 2017 The Society for Experimental Mechanics, Inc.
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Javh, J., Slavič, J., Boltežar, M. (2017). High-Noise High-Speed Footage Data in Experimental Modal Analysis. In: Mains, M., Blough, J. (eds) Topics in Modal Analysis & Testing, Volume 10. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-54810-4_3
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DOI: https://doi.org/10.1007/978-3-319-54810-4_3
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