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Wear - Sediment Quantity Correlation Model for Preventive Maintenance Scheduling of a Hydroelectric Power Plant

The present research is carried out for the improvement of the availability of a hydroelectric power plant through a wear-sediment quantity correlation model for the scheduling of its preventive maintenance, the data is based on the measurement of blade thicknesses, as well as visual inspection to...

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Autors principals: Kleber Zhañay, Cristian Leiva, Erika Pilataxi, William Quitiaquez
Format: Artigo
Idioma:Inglês
Publicat: Operador Nacional de Electricidad – CENACE 2025-01-01
Col·lecció:Revista Técnica Energía
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Accés en línia:https://revistaenergia.cenace.gob.ec/index.php/cenace/article/view/691
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