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- Title
MLP ANN Condition Assessment Model of the Turbogenerator Shaft A6 HPP Đerdap 2.
- Authors
ILIĆ, Dragoljub; MILOŠEVIĆ, Dragan; JOVANOVIĆ, Zoran; CVJETKOVIĆ, Milena; VULIĆ, Miroslav
- Abstract
This paper describes a model for estimating the condition of the shafts of turbines of the current generator in Hydropower plant Đerdap 2. For this purpose, an integral diagnostic approach was used. Based on the diagnostics of the condition of the shaft and the estimated lifetime, a multi-layer perceptron (MLP) based artificial neural network (ANN) is built, which is able to estimate the remaining lifespan of the turbine shaft. The MLP ANN model has not been made in this way on turbo generators of hydroelectric power plant Đerdap 2 until now. The significance of this approach is that experiment brings about topology of ML ANN (number of neurons and layers) which is optimal for this model, training and testing. Results obtained from the neural network can be further used for decision-making about the moment of diagnosis or maintenance actions, as well as reducing stagnation and production losses.
- Subjects
ARTIFICIAL neural networks; HYDROELECTRIC power plants; HYDROELECTRIC generators; TURBINE generators; WATER power; TIDAL power
- Publication
Technical Gazette / Tehnički Vjesnik, 2021, Vol 28, Issue 1, p291
- ISSN
1330-3651
- Publication type
Article
- DOI
10.17559/TV-20190510052210