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Uncertainty in Operational Modal Analysis of Hydraulic Turbine Components

Gagnon, Martin    (Department of Mechanical Engineering, Ecole de technologie superieure   ); Tahan, S.-Antoine    (Department of Mechanical Engineering, Ecole de technologie superieure   ); Coutu, Andre    (Andritz-Hydro Ltd  );
  • 초록

    Operational modal analysis (OMA) allows modal parameters, such as natural frequencies and damping, to be estimated solely from data collected during operation. However, a main shortcoming of these methods resides in the evaluation of the accuracy of the results. This paper will explore the uncertainty and possible variations in the estimates of modal parameters for different operating conditions. Two algorithms based on the Least Square Complex Exponential (LSCE) method will be used to estimate the modal parameters. The uncertainties will be calculated using a Monte-Carlo approach with the hypothesis of constant modal parameters at a given operating condition. In collaboration with Andritz-Hydro Ltd, data collected on two different stay vanes from an Andritz-Hydro Ltd Francis turbine will be used. This paper will present an overview of the procedure and the results obtained.


  • 주제어

    Flow induced vibration .   modal analysis .   system identification .   uncertainty .   modal parameters.  

  • 참고문헌 (9)

    1. James, G., Carne, T. & Lauffer, J., 1992, The Natural Excitation Technique (NExT) for Modal Parameter Extraction from Operating Wind Turbines, SAND 92-1666, Sandia National Laboratories, Albuquerque, NM, 19921. 
    2. James, G., Carne, T. & Lauffer, J, 1995, The Natural Excitation Technique (NExT) for Modal Parameter Extraction from Operating Structures, Modal Analysis, 10, pp. 260-277. 
    3. Andersen, P., Brincker, R., Peeters, B., De Roeck, G., Hermans, L. & Kramer, C., 1999, Comparison of system identification methods using ambient bridge test data, In Proceedings of IMAC 17, the International Modal Analysis Conference, pp. 1035-1041, Kissimmee, FL, USA. 
    4. Mohanty, P. & Rixen, D. J., 2004, Operational modal analysis in the presence of harmonic excitation. Journal of Sound and Vibration, 270, pp. 93-109. 
    5. Politis, D. N., 2003, The Impact of Bootstrap Methods on Time Series Analysis, Statistical Science, 18, pp. 219-230 
    6. Buhlmann, P. & Kunsch, H. R., 1999, Block length selection in the bootstrap for times series, Computational Statistics & Data Analysis, 31, pp. 295-310. 
    7. Vogel, R. M. & Shallcross, A. L., 1996, The moving blocks bootstrap versus parametric time series models, Water Resources Research, 32, pp. 1875-1882. 
    8. Naudascher, E. & Rockwell, D., 1994, Flow-Induced Vibrations: An Engineering Guide, Dover Publications. 
    9. Blevins, R. D., 2001, Flow-Induced Vibration 2nd ed., Kieger Publishing Compagny. 

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