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Feasibility of Detecting Natural Frequencies of Hydraulic Turbines While in Operation, Using Strain Gauges

Nowadays, hydropower plays an essential role in the energy market. Due to their fast response and regulation capacity, hydraulic turbines operate at off-design conditions with a high number of starts and stops. In this situation, dynamic loads and stresses over the structure are high, registering so...

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Autores principales: Valentín, David, Presas, Alexandre, Bossio, Matias, Egusquiza, Mònica, Egusquiza, Eduard, Valero, Carme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795371/
https://www.ncbi.nlm.nih.gov/pubmed/29320422
http://dx.doi.org/10.3390/s18010174
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author Valentín, David
Presas, Alexandre
Bossio, Matias
Egusquiza, Mònica
Egusquiza, Eduard
Valero, Carme
author_facet Valentín, David
Presas, Alexandre
Bossio, Matias
Egusquiza, Mònica
Egusquiza, Eduard
Valero, Carme
author_sort Valentín, David
collection PubMed
description Nowadays, hydropower plays an essential role in the energy market. Due to their fast response and regulation capacity, hydraulic turbines operate at off-design conditions with a high number of starts and stops. In this situation, dynamic loads and stresses over the structure are high, registering some failures over time, especially in the runner. Therefore, it is important to know the dynamic response of the runner while in operation, i.e., the natural frequencies, damping and mode shapes, in order to avoid resonance and fatigue problems. Detecting the natural frequencies of hydraulic turbine runners while in operation is challenging, because they are inaccessible structures strongly affected by their confinement in water. Strain gauges are used to measure the stresses of hydraulic turbine runners in operation during commissioning. However, in this paper, the feasibility of using them to detect the natural frequencies of hydraulic turbines runners while in operation is studied. For this purpose, a large Francis turbine runner (444 MW) was instrumented with several strain gauges at different positions. First, a complete experimental strain modal testing (SMT) of the runner in air was performed using the strain gauges and accelerometers. Then, the natural frequencies of the runner were estimated during operation by means of analyzing accurately transient events or rough operating conditions.
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spelling pubmed-57953712018-02-13 Feasibility of Detecting Natural Frequencies of Hydraulic Turbines While in Operation, Using Strain Gauges Valentín, David Presas, Alexandre Bossio, Matias Egusquiza, Mònica Egusquiza, Eduard Valero, Carme Sensors (Basel) Article Nowadays, hydropower plays an essential role in the energy market. Due to their fast response and regulation capacity, hydraulic turbines operate at off-design conditions with a high number of starts and stops. In this situation, dynamic loads and stresses over the structure are high, registering some failures over time, especially in the runner. Therefore, it is important to know the dynamic response of the runner while in operation, i.e., the natural frequencies, damping and mode shapes, in order to avoid resonance and fatigue problems. Detecting the natural frequencies of hydraulic turbine runners while in operation is challenging, because they are inaccessible structures strongly affected by their confinement in water. Strain gauges are used to measure the stresses of hydraulic turbine runners in operation during commissioning. However, in this paper, the feasibility of using them to detect the natural frequencies of hydraulic turbines runners while in operation is studied. For this purpose, a large Francis turbine runner (444 MW) was instrumented with several strain gauges at different positions. First, a complete experimental strain modal testing (SMT) of the runner in air was performed using the strain gauges and accelerometers. Then, the natural frequencies of the runner were estimated during operation by means of analyzing accurately transient events or rough operating conditions. MDPI 2018-01-10 /pmc/articles/PMC5795371/ /pubmed/29320422 http://dx.doi.org/10.3390/s18010174 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Valentín, David
Presas, Alexandre
Bossio, Matias
Egusquiza, Mònica
Egusquiza, Eduard
Valero, Carme
Feasibility of Detecting Natural Frequencies of Hydraulic Turbines While in Operation, Using Strain Gauges
title Feasibility of Detecting Natural Frequencies of Hydraulic Turbines While in Operation, Using Strain Gauges
title_full Feasibility of Detecting Natural Frequencies of Hydraulic Turbines While in Operation, Using Strain Gauges
title_fullStr Feasibility of Detecting Natural Frequencies of Hydraulic Turbines While in Operation, Using Strain Gauges
title_full_unstemmed Feasibility of Detecting Natural Frequencies of Hydraulic Turbines While in Operation, Using Strain Gauges
title_short Feasibility of Detecting Natural Frequencies of Hydraulic Turbines While in Operation, Using Strain Gauges
title_sort feasibility of detecting natural frequencies of hydraulic turbines while in operation, using strain gauges
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795371/
https://www.ncbi.nlm.nih.gov/pubmed/29320422
http://dx.doi.org/10.3390/s18010174
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