Publication:
DEVELOPMENT OF A SYSTEM FOR PREDICTIVE DIAGNOSTICS OF TRACTION ASYNCHRONOUS ELECTRIC DRIVE FOR TRAINS

Дата
2022
Авторы
Bozek, P.
Krenicky, T.
Stepanov, P. I.
Nikitin, Y. R.
Gupalov, B. A.
Lagutkin, S. V.
Journal Title
Journal ISSN
Volume Title
Издатель
Научные группы
Организационные подразделения
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Организационная единица
НТИ НИЯУ МИФИ
НТИ НИЯУ МИФИ расположен на территории ЗАТО, Новоуральский городской округ. Институт создан распоряжением Совета Министров СССР от 02.09.52 г. № 226/33рс как вечернее отделение № 2 Московского механического института (позднее Московского инженерно-физического института – МИФИ). В составе вуза 7 специальных и общеобразовательных кафедр, Уральский политехнический колледж (УрПК), Уральский центр подготовки кадров (УЦПК) «Прогресс». Институт ведет обучение по ряду востребованных образовательных программ высшего и среднего профессионального образования.
Выпуск журнала
Аннотация
The paper describes the concept of improving the efficiency of the process of monitoring the technical condition and evaluating the service life of an asynchronous electric drive of promising trains based on the analysis of diagnostic information of various physical nature, taking into ac-count different types of diagnostic signals generated by individual drive elements and measured using vibration and current sensors. The implementation of the project provides an increase in the effectiveness of monitoring the technical condition of the electromechanical equipment of trains, allows to move from scheduled maintenance of high-speed rail transport to service according to the actual condition, to increase safety, as well as to the introduction automatic monitoring systems. Functional purpose of the system: monitoring the technical condition of electromechanical equipment and predicting the residual life of its nodes through the use of an intelligent decision-making unit based on a neural network. A scheme of hardware for data collection and analysis, an algorithm for collecting and processing data based on a registrar, and a predictive diagnostics algorithm have been developed. © 2022, MM publishing Ltd. All rights reserved.
Описание
Ключевые слова
diagnostics , electric drive , forecasting , monitoring , remaining service life
Цитирование
DEVELOPMENT OF A SYSTEM FOR PREDICTIVE DIAGNOSTICS OF TRACTION ASYNCHRONOUS ELECTRIC DRIVE FOR TRAINS / Bozek, P. [et al.] // MM Science Journal. - 2022. - 2022-November. - P. 6123-6126. - 10.17973/MMSJ.2022_11_2022141
URI
https://www.doi.org/10.17973/MMSJ.2022_11_2022141
 https://www.scopus.com/record/display.uri?eid=2-s2.0-85141824728&origin=resultslist
 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000885481200001
 https://openrepository.mephi.ru/handle/123456789/27642
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