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

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dc.contributor.authorBozek, P.
dc.contributor.authorKrenicky, T.
dc.contributor.authorStepanov, P. I.
dc.contributor.authorNikitin, Y. R.
dc.contributor.authorGupalov, B. A.
dc.contributor.authorLagutkin, S. V.
dc.date.accessioned2024-12-25T10:23:14Z
dc.date.available2024-12-25T10:23:14Z
dc.date.issued2022
dc.description.abstractThe 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.
dc.format.extentС. 6123-6126
dc.identifier.citationDEVELOPMENT 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
dc.identifier.doi10.17973/MMSJ.2022_11_2022141
dc.identifier.urihttps://www.doi.org/10.17973/MMSJ.2022_11_2022141
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85141824728&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000885481200001
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/27642
dc.relation.ispartofMM Science Journal
dc.subjectdiagnostics
dc.subjectelectric drive
dc.subjectforecasting
dc.subjectmonitoring
dc.subjectremaining service life
dc.titleDEVELOPMENT OF A SYSTEM FOR PREDICTIVE DIAGNOSTICS OF TRACTION ASYNCHRONOUS ELECTRIC DRIVE FOR TRAINS
dc.typeArticle
dspace.entity.typePublication
oaire.citation.volume2022-November
relation.isOrgUnitOfPublication1e3b02a0-a28b-43e5-8423-8953e5b7f1c1
relation.isOrgUnitOfPublication.latestForDiscovery1e3b02a0-a28b-43e5-8423-8953e5b7f1c1
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