Otkrivanje kvara rotora kaveznog asinhronog motora primenom tehnika analize terminalnih veličina / Induction motor broken bar fault detection based on the analysis of motorterminal quantities

Description

<p>U disertaciji je predložena metoda za pouzdano otkrivanje kvara rotora<br />trofaznog kaveznog asinhronog motora. Metoda je zasnovana na<br />identifikaciji obeležja kvara rotora iz signala terminalnih veličina<br />jednofazno napojenog trofaznog kaveznog motora u stacionarnom stanju<br />pogona. Predložena metoda eliminiše potrebu za postojanja opterećenja<br />motora, što je osnovna prednost u odnosu na rešenja iz literature. Sva<br />teorijska razmatranja su praćena odgovarajućim rezultatima računarskih<br />simulacija, da bi se potom sprovela eksperimentalna verifikacija i<br />potvrdila efikasnost predložene metode. Takođe, predstavljen je<br />postupak za kvantitativnu procenu oštećenja štapnih provodnika rotora.</p> / <p>In this Doctoral dissertation, a novel method for broken rotor bar fault detection<br />in a three-phase squirrel-cage induction motor (IM) is introduced. The proposed<br />method is non-invasive and it is based on the analysis of the IM terminal<br />quantities in a single-phase steady-state operating condition. Compared to<br />conventional fault detection techniques, the developed method does not require<br />any loading on the motor, which is the main benefit of the method. The faulty<br />condition of broken rotor bars was investigated analytically, while the<br />effectiveness of the proposed method was proven by the variety of computer<br />simulations and experimental results. Based on these results, a methodology for<br />the quantification of broken rotor bars in the IM has been presented.</p>

Links & Downloads

1. https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija149916765926985.pdf?controlNumber=(BISIS)104840&fileName=149916765926985.pdf&id=10136&source=NDLTD&language=en
2. https://www.cris.uns.ac.rs/record.jsf?recordId=104840&source=NDLTD&language=en

Tags

Additional Fields

Identifer	oai:union.ndltd.org:uns.ac.rs/oai:CRISUNS:(BISIS)104840
Date	21 September 2017
Creators	Reljić Dejan
Contributors	Marčetić Darko, Katić Vladimir, Vasić Veran, Oros Đura, Matić Petar
Publisher	Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, University of Novi Sad, Faculty of Technical Sciences at Novi Sad
Source Sets	University of Novi Sad
Language	Serbian
Detected Language	Unknown
Type	PhD thesis