Predictive analytics as a way to smart maintenance of hydraulic turbines

Author:

Georgievskaia Evgeniia

Funder

Foundation for Assistance to Small Innovative Enterprises in Science and Technology

Publisher

Elsevier BV

Subject

General Engineering,Energy Engineering and Power Technology

Reference12 articles.

1. Trudel, A., 2017. Recent trends in the design of hydropower components subjected to cycling and fatigue; towards improved technical design specifications. Hydrovision International 2017, Denver, USA (https://www.researchgate.net/publication/320310804_

2. Recent_trends_in_the_design_of_hydropower_components_subjected_to_cycling_and_fatigue_towards_improved_technical_design_specifications/citations).

3. Reduced scale model testing for prediction of eigenfrequencies and hydro-acoustic resonances in hydropower plants operating in off-design conditions;Favrel;IOP Conf. Ser.: Earth Environ. Sci.,2019

4. Prediction of hydro-acoustic resonances in hydropower plants by a new approach based on the concept of swirl number;Favrel;Journal of Hydraulic Research,2020

5. Duparchy, F., Brammer, J., Thibaud, M., Favrel, A., Lowys, P.Y., Avellan F., Mechanical impact of dynamic phenomena in Francis turbines at off design conditions. J. Phys.: Conf. Ser. 813, 012035. doi:10.1088/1742-6596/813/1/012035

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