MLP ANN Condition Assessment Model of the Turbogenerator Shaft A6 HPP Đerdap 2

Autor: Dragan Milošević, Dragoljub Ilić, Miroslav Vulić, Zoran Jovanović, Milena Cvjetković
Rok vydání: 2021
Předmět:
Zdroj: Tehnički Vjesnik, Vol 28, Iss 1, Pp 291-296 (2021)
Tehnički vjesnik
Volume 28
Issue 1
ISSN: 1848-6339
1330-3651
DOI: 10.17559/tv-20190510052210
Popis: 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 turbogenerators 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.
Databáze: OpenAIRE