Please use this identifier to cite or link to this item: http://lib.kart.edu.ua/handle/123456789/30667
Title: Neural network model of control of the technical condition of an asynchronous motor
Authors: Ananieva, O.M.
Babaiev, M.M.
Sotnyk, V.O.
Blyndiuk, V.S.
Issue Date: 2023
Publisher: Національний технічний університет "Харківський політехнічний інститут"
Citation: Neural network model of control of the technical condition of an asynchronous motor / O.M. Ananieva, M.M. Babaiev, V.O. Sotnyk, V.S. Blyndiuk // Інформатика, управління та штучний інтелект: тези Х Міжнар. науково-техн. конф., 10-12 травня 2023 р. – Харків: НТУ "ХПІ", 2023. – С. 4.
Abstract: Currently, one of the urgent problems in railway transport is ensuring the technical condition control of asynchronous motors (AM) of switch electric drives, which are one of the main elements of automation systems that ensure the safety of train traffic. During the operation of switch drives, AM damage occurs for various reasons, which can lead to emergency situations on the railway. Timely diagnostics of motors can significantly reduce the costs of their operation and maintenance.
URI: http://lib.kart.edu.ua/handle/123456789/30667
ISSN: 2524-0293
Appears in Collections:2023

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