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Faults Diagnosis in Transport and Distribution Lines Based on the Analytic Model

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dc.contributor.author IVANOV, Virginia
dc.contributor.author BROJBOIU, Maria
dc.contributor.author IVANOV, Sergiu
dc.date.accessioned 2019-11-26T15:14:12Z
dc.date.available 2019-11-26T15:14:12Z
dc.date.issued 2017
dc.identifier.citation IVANOV, Virginia, BROJBOIU, Maria, IVANOV, Sergiu. Faults Diagnosis in Transport and Distribution Lines Based on the Analytic Model [Resursă electronică]. In: SIELMEN 2017: Proceedings of the 11-th international conference on electromechanical and power systems, 11-13 octombrie, 2017. Chișinău, 2017, pp. 646-650. ISBN 978-1-5386-1846-2. en_US
dc.identifier.isbn 978-1-5386-1846-2
dc.identifier.uri http://repository.utm.md/handle/5014/7208
dc.description Abstract & References en_US
dc.description.abstract The method based on analytic models can be used when the system behavior is compared with the results of the mathematical model which reproduces the system in normal operation conditions. The paper applies the diagnosis method based on the analytic model by investigating the waveforms of the currents and voltages specific to a transport and distribution line when interruption fault occurs. For identifying the fault, the waveforms corresponding to different faults are stored in an information database and compared with the ones corresponding to the normal operation. The paper presents a microcontroller based system used to control switching of interruption fault for transport and distribution lines. en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject fault diagnosis en_US
dc.subject overhead long lines en_US
dc.subject fault interruption en_US
dc.subject microcontroller systems en_US
dc.title Faults Diagnosis in Transport and Distribution Lines Based on the Analytic Model en_US
dc.type Article en_US


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  • 2017
    11-13 Oct. 2017

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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