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Pregled bibliografske jedinice broj: 1167719

Self-powered diagnostic system for AC machines based on inhomogeneity of magnetic field distribution in air gap


Tvorić, Stjepan; Elez, Ante; Štih, Željko; Vaseghi, Babak; Afshar, Mojtaba
Self-powered diagnostic system for AC machines based on inhomogeneity of magnetic field distribution in air gap // Electric power components and systems, 49 (2021), 1-2; 161-170 doi:10.1080/15325008.2021.1937387 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1167719 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Self-powered diagnostic system for AC machines based on inhomogeneity of magnetic field distribution in air gap

Autori
Tvorić, Stjepan ; Elez, Ante ; Štih, Željko ; Vaseghi, Babak ; Afshar, Mojtaba

Izvornik
Electric power components and systems (1532-5008) 49 (2021), 1-2; 161-170

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
AC machines ; fault diagnosis ; magnetic flux ; magnetic field ; measuring coil ; inter-turn short circuit fault detection ; self-powering ; broken rotor bar fault detection ; finite element analysis

Sažetak
This article presents a self-powered system for supplying rotor measurement equipment and detecting stator winding inter-turn short circuit, and broken rotor bar faults in AC Machines. This system uses harvesting coils to harvest air-gap magnetic field pulsation and generate energy for powering equipment installed on the rotor. Furthermore, installing this system on the stator or rotor of AC machines provides a voltage signal appropriate for fault detection purposes. To determine specifications of the harvesting coils – coils turn numbers, and their optimal mounting positions – numerous finite element simulations have been carried out. In addition, a fault detection method has been proposed to detect broken rotor bar and inter-turn short circuit faults using induced voltage in the harvesting coils. To verify the performance of the proposed system, some experimental and simulation tests have been performed on various AC machines. The results have confirmed the applicability of this system in self-powering applications and fault detection purposes.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Tehničko veleučilište u Zagrebu

Profili:

Avatar Url Željko Štih (autor)

Avatar Url Stjepan Tvorić (autor)

Avatar Url Ante Elez (autor)

Poveznice na cjeloviti tekst rada:

doi www.tandfonline.com

Citiraj ovu publikaciju:

Tvorić, Stjepan; Elez, Ante; Štih, Željko; Vaseghi, Babak; Afshar, Mojtaba
Self-powered diagnostic system for AC machines based on inhomogeneity of magnetic field distribution in air gap // Electric power components and systems, 49 (2021), 1-2; 161-170 doi:10.1080/15325008.2021.1937387 (međunarodna recenzija, članak, znanstveni)
Tvorić, S., Elez, A., Štih, Ž., Vaseghi, B. & Afshar, M. (2021) Self-powered diagnostic system for AC machines based on inhomogeneity of magnetic field distribution in air gap. Electric power components and systems, 49 (1-2), 161-170 doi:10.1080/15325008.2021.1937387.
@article{article, author = {Tvori\'{c}, Stjepan and Elez, Ante and \v{S}tih, \v{Z}eljko and Vaseghi, Babak and Afshar, Mojtaba}, year = {2021}, pages = {161-170}, DOI = {10.1080/15325008.2021.1937387}, keywords = {AC machines, fault diagnosis, magnetic flux, magnetic field, measuring coil, inter-turn short circuit fault detection, self-powering, broken rotor bar fault detection, finite element analysis}, journal = {Electric power components and systems}, doi = {10.1080/15325008.2021.1937387}, volume = {49}, number = {1-2}, issn = {1532-5008}, title = {Self-powered diagnostic system for AC machines based on inhomogeneity of magnetic field distribution in air gap}, keyword = {AC machines, fault diagnosis, magnetic flux, magnetic field, measuring coil, inter-turn short circuit fault detection, self-powering, broken rotor bar fault detection, finite element analysis} }
@article{article, author = {Tvori\'{c}, Stjepan and Elez, Ante and \v{S}tih, \v{Z}eljko and Vaseghi, Babak and Afshar, Mojtaba}, year = {2021}, pages = {161-170}, DOI = {10.1080/15325008.2021.1937387}, keywords = {AC machines, fault diagnosis, magnetic flux, magnetic field, measuring coil, inter-turn short circuit fault detection, self-powering, broken rotor bar fault detection, finite element analysis}, journal = {Electric power components and systems}, doi = {10.1080/15325008.2021.1937387}, volume = {49}, number = {1-2}, issn = {1532-5008}, title = {Self-powered diagnostic system for AC machines based on inhomogeneity of magnetic field distribution in air gap}, keyword = {AC machines, fault diagnosis, magnetic flux, magnetic field, measuring coil, inter-turn short circuit fault detection, self-powering, broken rotor bar fault detection, finite element analysis} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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