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JCR Impact Factor: 0.700
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Current issue: Aug 2024
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  3/2015 - 13

Experimental Method of Determining the Equivalent Circuit Parameters of a Switched Reluctance Machine

VUKADINOVIC, D. See more information about VUKADINOVIC, D. on SCOPUS See more information about VUKADINOVIC, D. on IEEExplore See more information about VUKADINOVIC, D. on Web of Science, GRBIN, S. See more information about  GRBIN, S. on SCOPUS See more information about  GRBIN, S. on SCOPUS See more information about GRBIN, S. on Web of Science, BASIC, M. See more information about BASIC, M. on SCOPUS See more information about BASIC, M. on SCOPUS See more information about BASIC, M. on Web of Science
 
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Download PDF pdficon (1,229 KB) | Citation | Downloads: 872 | Views: 3,346

Author keywords
equivalent circuits, iron losses, inductance measurement, model, switched reluctance machine

References keywords
reluctance(21), switched(19), motor(8), power(7), machines(5), motors(4), losses(4), equivalent(4), electric(4), circuit(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-08-31
Volume 15, Issue 3, Year 2015, On page(s): 93 - 98
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.03013
Web of Science Accession Number: 000360171500013
SCOPUS ID: 84940743265

Abstract
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This paper presents an equivalent-circuit-based method to experimentally determine the phase inductance and the iron-loss resistance of a switched reluctance machine (SRM). The proposed equivalent circuit of the SRM phase consists of the winding resistance, the winding inductance and the iron-loss resistance. In this paper, the iron-loss resistance is represented as variable with respect to the phase current, the dc supply voltage and the rotor position. The phase inductance is represented as variable with respect to the phase current and the rotor position. The phase winding resistance is represented by a constant parameter. The proposed method allows estimation of the rotary SRM's iron losses for single-pulse operating regimes.


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Cited-By CrossRef

[1] Research on Torque Ripple Minimization of Double-stator Switched Reluctance Motor Using Finite Element Method, Das GUPTA, T., CHAUDHARY, K., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 21, 2021.
Digital Object Identifier: 10.4316/AECE.2021.04015
[CrossRef] [Full text]

[2] Motor-drive solution for light electric vehicles based on a switched reluctance machine, Ruba, Mircea, Fodorean, Daniel, 2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), ISBN 978-1-4673-8692-0, 2016.
Digital Object Identifier: 10.1109/AQTR.2016.7501372
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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