|2/2013 - 18|
Experimental System for Monitoring and Diagnosis of a Static Power ConverterIVANOV, V. I. , BROJBOIU, M. D. , IVANOV, S. S.
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fault diagnosis, static power converters, redundancy, reliability theory, monitoring
power(11), fault(11), ivanov(10), system(7), systems(6), expert(6), diagnosis(6), brojboiu(5), method(4), faults(4)
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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
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.
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 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]
 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]
 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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