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JCR Impact Factor: 0.700
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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.

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  2/2013 - 18

Experimental System for Monitoring and Diagnosis of a Static Power Converter

IVANOV, V. I. See more information about IVANOV, V. I. on SCOPUS See more information about IVANOV, V. I. on IEEExplore See more information about IVANOV, V. I. on Web of Science, BROJBOIU, M. D. See more information about  BROJBOIU, M. D. on SCOPUS See more information about  BROJBOIU, M. D. on SCOPUS See more information about BROJBOIU, M. D. on Web of Science, IVANOV, S. S. See more information about IVANOV, S. S. on SCOPUS See more information about IVANOV, S. S. on SCOPUS See more information about IVANOV, S. S. on Web of Science
 
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Download PDF pdficon (733 KB) | Citation | Downloads: 1,061 | Views: 3,775

Author keywords
fault diagnosis, static power converters, redundancy, reliability theory, monitoring

References keywords
power(11), fault(11), ivanov(10), system(7), systems(6), expert(6), diagnosis(6), brojboiu(5), method(4), faults(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-05-31
Volume 13, Issue 2, Year 2013, On page(s): 113 - 120
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.02018
Web of Science Accession Number: 000322179400018
SCOPUS ID: 84878924715

Abstract
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The evolution of the computer aided design and control technologies in the field of static power converters leads also to diagnosis systems which include modules based on artificial intelligence. In order to achieve satisfactory reliability, the static power converters must even be assembled by using high reliability devices and/or be conceived as redundant topologies. The paper presents a dedicated monitoring and diagnosis system of the static power converters. It can be used both for the diagnosis of the transistors within an inverter as well as for the analysis and diagnosis of a power bridge rectifier. The diagnosis system dedicated to the power rectifiers uses the fault tree method. Based on the symptoms observed in the behavior of the power rectifiers, the diagnosis and the functional test performed by the developed system is based on consideration of the abnormal comportments and the faults which determine these. The experimental system dedicated to the bridge rectifiers analyses and identifies the causes of the faults which occur during the operation and reduces the displayed results if two sets of values of the sources which determine the same answer, differ by a single input.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 4
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Cited-By CrossRef

[1] Diagnosis method for the elements of the three-phase rectifier supplying a variable DC drive, Ivanov, Virginia, Brojboiu, Maria, Ivanov, Sergiu, 2014 International Conference on Applied and Theoretical Electricity (ICATE), ISBN 978-1-4799-4161-2, 2014.
Digital Object Identifier: 10.1109/ICATE.2014.6972662
[CrossRef]

[2] Short circuits faults diagnosis for the rectifier based on the analytic model method, Ivanov, Virginia, Brojboiu, Maria, Ivanov, Sergiu, Ocoleanu, Florin, 2016 International Conference and Exposition on Electrical and Power Engineering (EPE), ISBN 978-1-5090-6129-7, 2016.
Digital Object Identifier: 10.1109/ICEPE.2016.7781390
[CrossRef]

[3] Faults diagnosis in transport and distribution lines based on the analytic model, Ivanov, Virginia, Brojboiu, Maria, Ivanov, Sergiu, 2017 International Conference on Electromechanical and Power Systems (SIELMEN), ISBN 978-1-5386-1846-2, 2017.
Digital Object Identifier: 10.1109/SIELMEN.2017.8123400
[CrossRef]

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


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