On the use of artificial neural networks for condition monitoring of pump-turbines with extended operation

Author:

Zhao Weiqiang,Egusquiza Mònica,Valero Carme,Valentín David,Presas Alexandre,Egusquiza Eduard

Funder

CSC

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference40 articles.

1. Condition monitoring of pump-turbines. New challenges;Egusquiza;Measurement,2015

2. Flow-induced pulsation and vibration in hydroelectric machinery: engineer’s guidebook for planning, design and troubleshooting;Dörfler,2012

3. M. Nishi, S. Matsunaga, M. Okamoto, K. Takatsu, Wall pressure measurements as a diagnosis of draft tube surge, in: Proc. 15th IAHR Symp. Hydraul. Mach. Cavitation, Belgrade, Serbia, 1990.

4. F. Avellan, Flow investigation in a Francis draft tube: the FLINDT project, in: Proc. 20th IAHR Symp. Hydraul. Mach. Syst., Charlotte (NC), 2000.

5. Prediction of a Francis turbine prototype full load instability from investigations on the reduced scale model;Alligné,2010

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