APPROACH TO HYDROUNIT DEFECTS DEVELOPMENT FORECAST USING THE ARTIFICIAL NEURAL NETWORK

Authors

  • Samoil Katzev Vinnytsia National Technical University

Keywords:

forecast of the defects development in hydrounits, artificial neuron net, amplitude - frequency – time spectrum

Abstract

The paper suggests the structure and mathematical model of artificial neural network for automatic forecasting of hydrounits defects development. There had been considered some preliminary diagnostic conclusions.

Author Biography

Samoil Katzev, Vinnytsia National Technical University

Assistant Professor with the Department for Theoretical Electrotechnology and Electric Measurements

Downloads

Abstract views: 139

Published

2015-11-28

How to Cite

[1]
S. Katzev, “APPROACH TO HYDROUNIT DEFECTS DEVELOPMENT FORECAST USING THE ARTIFICIAL NEURAL NETWORK”, Works of VNTU, no. 1, Nov. 2015.

Issue

No. 1 (2012): 2012№1

Section

Energetics and Electrical Engineering

Metrics

Downloads

Download data is not yet available.