NDLI: Improvement of efficiency of monitoring and diagnosing electromechanical systems by automating recognition parameters

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Improvement of efficiency of monitoring and diagnosing electromechanical systems by automating recognition parameters

Content Provider	Scilit
Author	Menshikov, I. A. Kargin, V. A. Volgin, A. V. Moiseev, A. P.
Copyright Year	2019
Description	Journal: Journal of Physics: Conference Series Evaluation of operating modes of electromechanical systems on vehicles with traction DC motors based on a combination of values of several signs of recognition of the technical condition will increase the probability of detecting failures of traction motors by minimizing the influence of factors that are irregular. The results of the evaluation of the modes of operation and the technical condition of electromechanical systems with traction DC motors of an AC electric train of the ER-9$ ^{T}$ series are presented. The problem of recognizing the modes of operation and the technical state of electromechanical systems has been solved with the help of mathematical processing of the parameters of recognition features used in an automated system for adaptive monitoring and prediction of failures of elements of electromechanical systems.
Related Links	https://iopscience.iop.org/article/10.1088/1742-6596/1333/5/052020/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/1333/5/052020
Journal	Journal of Physics: Conference Series
Issue Number	5
Volume Number	1333
Language	English
Publisher	IOP Publishing
Publisher Date	2019-10-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Automotive Engineering Electromechanical Systems Modes of Operation Recognition Parameters Systems By Automating
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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