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...
Saved in:
Main Authors: | Kleber Zhañay, Cristian Leiva, Erika Pilataxi, William Quitiaquez |
---|---|
Format: | Article |
Language: | English |
Published: |
Operador Nacional de Electricidad – CENACE
2025-01-01
|
Series: | Revista Técnica Energía |
Subjects: | |
Online Access: | https://revistaenergia.cenace.gob.ec/index.php/cenace/article/view/691 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development of Small Hydroelectric Power Plant Maintenance Costs using Chaos Embedded Adaptive Particle Swarm Optimization
by: Mahmut Temel Özdemir, et al.
Published: (2023-12-01) -
Regional policy and hydroelectric resources
by: Franco Romerio
Published: (2008-03-01) -
Morfologia fluvial e dinâmica de sedimentos: análise dos efeitos a jusante do complexo hidrelétrico do rio Madeira
by: Mariano Vieira dos Santos, et al.
Published: (2020-06-01) -
Maintenance Scheduling of Wind Units from the Power Plant Owner’s Perspective with the Objective of Minimizing Economic Loss
by: Amir Allame, et al.
Published: (2024-08-01) -
Sensor Image, Anomaly Detection Method for Hydroelectric Dam Structure Using Sensors Measurements and Deep Learning
by: Van-Phuong Ha, et al.
Published: (2025-01-01)