o:5774 MLP ANN Condition Assessment Model of the Turbogenerator Shaft A6 HPP Đerdap 2 en 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 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. Keywords: ANN (Artificial Neural Network); model; shaft; turbogenerator 1552099 10.17559/tv-20190510052210 2024-10-22T10:03:24.477Z 44 yes 46 Dragoljub Ilić Miroslav Vulić Fakultet za ekonomiju i inženjerski menadžment u Novom Sadu person 0000-0002-5467-2932 Milena Cvjetković person Zoran Jovanović person Dragan Milošević Fakultet za ekonomiju i inženjerski menadžment u Novom Sadu person 0000-0002-5979-2562 2021 application/pdf 913930 https://unilib.phaidrabg.rs/o:5774 no yes 16 70 1552253 2021 Tehnicki vjesnik - Technical Gazette 28 1 291 296 2021