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Operational Modal Analysis of hydroelectric turbines using an order based likelihood approach

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Listed:
  • Dollon, Q.
  • Antoni, J.
  • Tahan, A.
  • Gagnon, M.
  • Monette, C.

Abstract

The purpose of this paper is to estimate hydroelectric turbine runner modal characteristics from experimental measurements coming from asynchronous regimes. This is achieved by investigating resonances generated by the interaction of a structural mode with harmonics of the rotating speed. Resonances are extracted using order tracking and processed with a Fast Bayesian algorithm in an ambient manner to estimate modal parameters and related uncertainties. Since data collection and effective processing of hydropower turbine field measurements is in its early stages, this paper lays some foundations in the treatment of transient regime measurements. A novelty in this approach lies in the use of a probabilistic identification tool in Order Based Modal Analysis (OBMA). A numerical experiment and a study from a hydroelectric Francis turbine field measurements are introduced to illustrate the method.

Suggested Citation

  • Dollon, Q. & Antoni, J. & Tahan, A. & Gagnon, M. & Monette, C., 2021. "Operational Modal Analysis of hydroelectric turbines using an order based likelihood approach," Renewable Energy, Elsevier, vol. 165(P1), pages 799-811.
    • Handle: RePEc:eee:renene:v:165:y:2021:i:p1:p:799-811
    DOI: 10.1016/j.renene.2020.11.086
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    References listed on IDEAS

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    1. Liu, Xin & Luo, Yongyao & Wang, Zhengwei, 2016. "A review on fatigue damage mechanism in hydro turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1-14.
    2. Trivedi, Chirag & Cervantes, Michel J., 2017. "Fluid-structure interactions in Francis turbines: A perspective review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 87-101.
    3. Valentín, David & Presas, Alexandre & Valero, Carme & Egusquiza, Mònica & Egusquiza, Eduard & Gomes, Joao & Avellan, François, 2020. "Transposition of the mechanical behavior from model to prototype of Francis turbines," Renewable Energy, Elsevier, vol. 152(C), pages 1011-1023.
    4. Presas, Alexandre & Luo, Yongyao & Wang, Zhengwei & Guo, Bao, 2019. "Fatigue life estimation of Francis turbines based on experimental strain measurements: Review of the actual data and future trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 96-110.
    5. Xin Liu & Yongyao Luo & Alexandre Presas & Zhengwei Wang & Lingjiu Zhou, 2018. "Cavitation Effects on the Structural Resonance of Hydraulic Turbines: Failure Analysis in a Real Francis Turbine Runner," Energies, MDPI, vol. 11(9), pages 1-16, September.
    6. Kougias, Ioannis & Aggidis, George & Avellan, François & Deniz, Sabri & Lundin, Urban & Moro, Alberto & Muntean, Sebastian & Novara, Daniele & Pérez-Díaz, Juan Ignacio & Quaranta, Emanuele & Schild, P, 2019. "Analysis of emerging technologies in the hydropower sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
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