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master's thesis
Dizajn algoritma za prediktivno prepoznavanje harmonijskog spektra stanja kvara električnih motora u distributivnoj mreži
2022. urn:nbn:hr:200:685951
Štenc, Dario
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Electromechanical Engineering
Electric Machines and Hybrid Electric Drives Laboratory

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Štenc, D. (2022). Dizajn algoritma za prediktivno prepoznavanje harmonijskog spektra stanja kvara električnih motora u distributivnoj mreži (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:685951

Štenc, Dario. "Dizajn algoritma za prediktivno prepoznavanje harmonijskog spektra stanja kvara električnih motora u distributivnoj mreži." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:685951

Štenc, Dario. "Dizajn algoritma za prediktivno prepoznavanje harmonijskog spektra stanja kvara električnih motora u distributivnoj mreži." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:685951

Štenc, D. (2022). 'Dizajn algoritma za prediktivno prepoznavanje harmonijskog spektra stanja kvara električnih motora u distributivnoj mreži', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:200:685951

Štenc D. Dizajn algoritma za prediktivno prepoznavanje harmonijskog spektra stanja kvara električnih motora u distributivnoj mreži [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:200:685951

D. Štenc, "Dizajn algoritma za prediktivno prepoznavanje harmonijskog spektra stanja kvara električnih motora u distributivnoj mreži", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:200:685951

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TitleDizajn algoritma za prediktivno prepoznavanje harmonijskog spektra stanja kvara električnih motora u distributivnoj mreži
Title (english)Design algorithm for predictive recognition of harmonic spectrum of fault state in distribution network
AuthorDario Štenc
MentorŽeljko Hederić (mentor)
Committee memberŽeljko Hederić (predsjednik povjerenstva)
Committee memberTomislav Barić (član povjerenstva)
Committee memberTin Benšić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Electromechanical Engineering)
(Electric Machines and Hybrid Electric Drives Laboratory)
Osijek
Defense date and country2022-03-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electromechanical Engineering
Abstract
Široka primjena asinkronih motora u industriji dovodi i do velkog broja gubitaka zbog zaustavljanja pogona radi kvarova asinkronih motora. Primjenom metode praćenja harmonijskog spektra struja kao što je simulirano u ovom radu može omogućiti parvovremeno reagiranje na popravak ili ugađanje pojedinog parametra pogona. Izradom modela za praćenje osovinskih struja koje dovode do habanja ležaja uvelike bi olakšalo planiranje i održavanje samog industrijskog pogona. Tako bi pogon u budućnosti imao znatno smanjen postotak zaustavljanja iz razloga pravovremenog reagiranja na manja oštečenja i nepravilnosti u radu koji bi bili prikazani u harmonijskm spektru.
Abstract (english)
Widespread use of induction motors in industry also leads to a large number of losses due to shutdowns due to induction motor failures. By applying the method of monitoring the harmonic spectrum of currents as simulated in this paper, it can enable a timely response to the repair or tuning of an individual drive parameter. The development of a model for monitoring shaft currents that lead to bearing wear would greatly facilitate the planning and maintenance of the industrial plant itself. Thus, the plant would have a significantly reduced percentage of stops in the future due to the timely response to minor damage and irregularities in operation that would be shown in the harmonic spectrum.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:685951
Study programmeTitle: Graduate University Study Programme in Electrical Engineering; specializations in: Communications and Informatics, Power Engineering
Course: Power Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-05-19 13:05:04