APPROACH TO HYDROUNIT DEFECTS DEVELOPMENT FORECAST USING THE ARTIFICIAL NEURAL NETWORK

Автор(и)

  • Samoil Katzev Vinnytsia National Technical University

Ключові слова:

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

Анотація

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.

Біографія автора

Samoil Katzev, Vinnytsia National Technical University

Assistant Professor with the Department for Theoretical Electrotechnology and Electric Measurements

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Переглядів анотації: 206

Опубліковано

2015-11-28

Як цитувати

[1]
S. Katzev, «APPROACH TO HYDROUNIT DEFECTS DEVELOPMENT FORECAST USING THE ARTIFICIAL NEURAL NETWORK», SWVNTU, вип. 1, Лис 2015.

Номер

№ 1 (2012): 2012№1

Розділ

Energetics and Electrical Engineering

Метрики

Завантаження

Дані завантаження ще не доступні.