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doctoral thesis
Otkrivanje kvarova rotora kaveznoga asinkronoga motora analizom magnetskoga polja u zračnom rasporu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:643924
Tvorić, Stjepan
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electrical Engineering Fundamentals and Measurements

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Tvorić, S. (2019). Otkrivanje kvarova rotora kaveznoga asinkronoga motora analizom magnetskoga polja u zračnom rasporu (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:643924

Tvorić, Stjepan. "Otkrivanje kvarova rotora kaveznoga asinkronoga motora analizom magnetskoga polja u zračnom rasporu." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:643924

Tvorić, Stjepan. "Otkrivanje kvarova rotora kaveznoga asinkronoga motora analizom magnetskoga polja u zračnom rasporu." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:643924

Tvorić, S. (2019). 'Otkrivanje kvarova rotora kaveznoga asinkronoga motora analizom magnetskoga polja u zračnom rasporu', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:643924

Tvorić S. Otkrivanje kvarova rotora kaveznoga asinkronoga motora analizom magnetskoga polja u zračnom rasporu [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:643924

S. Tvorić, "Otkrivanje kvarova rotora kaveznoga asinkronoga motora analizom magnetskoga polja u zračnom rasporu", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:643924

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Metadata
TitleOtkrivanje kvarova rotora kaveznoga asinkronoga motora analizom magnetskoga polja u zračnom rasporu
Title (english)Rotor faults detection in squirrel-cage induction motor based on magnetic field analysis in air-gap
AuthorStjepan Tvorić
MBZ: 337780
MentorŽeljko Štih (mentor)
MentorStjepan Car (komentor)
Committee memberŽeljko Štih (član povjerenstva)
Committee memberStjepan Car (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electrical Engineering Fundamentals and Measurements)
Zagreb
Defense date and country2019, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electromechanical Engineering
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
Otkrivanje kvarova s ciljem sprečavanja štetnih posljedica za tehnološki proces kod električnih strojeva je od iznimne važnosti. U radu je istraženo točno otkrivanje i prepoznavanje kvarova rotora kaveznoga asinkronog motora: prekid jednog ili više štapova, prekid prstena te pojava statičkog ekscentriciteta. Prikazana je raspodjela kvarova prema glavnim komponentama, uzroci i priroda nastajanja kvara te različite metode detekcije. Odabrana je metodologija otkrivanja kvarova analizom magnetskog polja u zračnom rasporu temeljena na naponu induciranom u mjernim svicima ugrađenima na zub statora i razmaknutima za polni korak. Izrađen je numerički 2D model temeljen na metodi konačnih elemenata. Proračunima je dokazano da je pomoću induciranog napona u mjernim svicima moguće, s visokom razinom osjetljivosti, otkriti i prepoznati pojedini kvar. Dokazano je da svaki kvar ima svoju prirodu ponašanja koja se manifestira u razlici induciranih napona dvaju svitaka ili u samom induciranom naponu svitka. Rezultati proračuna verificirani su mjerenjima u laboratoriju na motoru dorađenom za simuliranje kvarova. Razvijen je algoritam koji temeljem vrijednosti induciranog napona u četiri mjerna svitka otkriva i međusobno prepoznaje pojedinu vrstu kvara rotora. Izvorni znanstveni doprinosi: - analiza utjecaja oštećenja kaveza i statičkog ekscentriciteta asinkronog motora na inducirane napone u mjernim svicima, - određivanje optimalnog rasporeda i položaja mjernih svitaka za određivanje kvarova, - algoritam za prepoznavanje kvarova temeljem izmjerenih induciranih napona u mjernim svicima.
Abstract (english)
The induction motors are one of the most common types of electrical machines, and they play a key role in various industrial plants and process. Because of the importance in the process, these machines must achieve reliable and safe operation. To ensure this, all key machines contain some types of protection and monitoring. The main goal is an early machine fault detection and the possibility to recognize the type and nature of a fault. The cause of induction machines faults lies in electrical and mechanical conditions together with operational environment. As a part of this dissertation, a method based on the magnetic field measurement in the air gap using the measuring coils embedded in the machine is presented. This methodology is used for reliable and unambiguous detection of squirrel-cage rotor faults: broken rotor bar, broken rotor ring, and static eccentricity. Within this dissertation, the issues regarding the rotor faults detection are discussed. Also, the corresponding algorithm for the rotor faults recognition has been designed. The aim of the thesis is a contribution to the early and reliable fault detection of electrical rotating machines based on the magnetic field analysis in the air gap. Original scientific contribution: - Impact analysis of the squirrel-cage damages and static eccentricity of the induction motor on the induced voltages in measuring coils, - Determination of the optimal layout and position of the measuring coils for fault detection, - Fault detection algorithm based on the measured induced voltages in the measuring coils.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:643924
Study programmeTitle: Electrical Engineering and Computing
Study programme type: university
Study level: postgraduate
Academic / professional title: Doktor znanosti elektrotehnike i računarstva (Doktor znanosti elektrotehnike i računarstva)
Type of resourceText
Extent203 str. ; 30 cm
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryFER Repository
Created on2020-01-20 10:20:16

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