Open AccessInvestigation of the Operating Parameters of Rectifier Devices Using Modern Software Tools
Author(s) -
A Zh Sarinova,
A V Drobinsky,
Lalita Kirichenko
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2211/1/012023
Subject(s) - rectifier (neural networks) , precision rectifier , software , computer science , voltage , peak inverse voltage , electrical engineering , constant (computer programming) , electronic engineering , engineering , voltage regulator , operating system , power factor , programming language , stochastic neural network , machine learning , recurrent neural network , artificial neural network , dropout voltage
Rectifier devices that convert alternating voltage into constant voltage are widely used in the energy industry. Laboratory studies allow us to obtain results showing the nature of the time dependencies of the operating parameters of rectifier devices. In this regard, the use of software tools allows for a more accurate, less time-consuming construction of time diagrams of the operating parameters of rectifier devices.