Issue |
Mechanics & Industry
Volume 25, 2024
Recent advances in vibrations, noise, and their use for machine monitoring
|
|
---|---|---|
Article Number | 25 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/meca/2024020 | |
Published online | 04 October 2024 |
Regular Article
Harmonic modal analysis of hydroelectric runner in steady-state conditions: a Bayesian approach
1
Mechanical Engineering Department, ÉTS, Montreal, Montreal, QC, Canada
2
Institut de Recherche d'Hydro-Québec (IREQ), Varennes, Canada
3
Lab. Vibration Acoustique, Univ. Lyon, INSA-Lyon, Villeurbanne, France
4
Andritz Hydro Canada Inc., Pointe-Claire, QC, Canada
* e-mail: nicolas.morin.4@ens.etsmtl.ca
Received:
18
December
2023
Accepted:
22
July
2024
The characterization of hydroelectric turbine runners' dynamic behaviour is essential for accurate stress and fatigue life prediction leading to design and maintenance adapted to the fluctuating power demand. As the modal parameters of runners depend on the operating regime and coupling effects, a representative estimation of these parameters relies on the analysis of in-operation data. However, harmonics contained in Francis runners strain response complexify the use of traditional operational modal analysis methods. This paper proposes a steady-state harmonic modal analysis method using Non-Trivial Rotor-Casing Interactions (NTRCI). The Bayesian method used to identify the parameters is first presented. Then the method is evaluated on a ground truth system obtained with an analytically generated strain response and then deployed on operating runner strain gauge measurements. The paper concludes with a discussion and future works related to the exhaustivity of the proposed model and additional signal processing needs.
Key words: Hydroelectric turbines / synchronous vibrations / operational modal analysis / Bayesian inference / steady-state
© N. Morin et al., Published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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