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undergraduate thesis
Mjerni sustav za detekciju kvarova u električnim strojevima
2022. urn:nbn:hr:200:677112
Mores, Mislav
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

Cite this document

Mores, M. (2022). Mjerni sustav za detekciju kvarova u električnim strojevima (Undergraduate 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:200:677112

Mores, Mislav. "Mjerni sustav za detekciju kvarova u električnim strojevima." Undergraduate 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:200:677112

Mores, Mislav. "Mjerni sustav za detekciju kvarova u električnim strojevima." Undergraduate 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:200:677112

Mores, M. (2022). 'Mjerni sustav za detekciju kvarova u električnim strojevima', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 24 April 2024, https://urn.nsk.hr/urn:nbn:hr:200:677112

Mores M. Mjerni sustav za detekciju kvarova u električnim strojevima [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2024 April 24] Available at: https://urn.nsk.hr/urn:nbn:hr:200:677112

M. Mores, "Mjerni sustav za detekciju kvarova u električnim strojevima", Undergraduate 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:200:677112

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Metadata
TitleMjerni sustav za detekciju kvarova u električnim strojevima
Title (english)Measuring system for fault detection in electrical machines
AuthorMislav Mores
MentorVenco Ćorluka (mentor)
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 country2022-10-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Abstract
Glavni cilj ovog rada bio je navesti i opisati najčešće moguće kvarove kod električnih strojeva u radnom pogonu, te navesti i opisati sve moguće mjerne metode za otkrivanje kvarova i na osnovu svakog mjerenja spektralnom analizom dati ocjenu stanja svakog pojedinog dijela stroja. U prvom dijelu rada navedene su i opisane vrste kvarova. Kvarovi električnog stroja podijeljeni su po njegovim dijelovima, to jest kvarovi rotora, statora, namota, ležaja i osovine. U drugom dijelu rada opisan je velik broj metoda za otkrivanje kvarova, a to su: vizualni pregled kao najstarija metoda, mjerenje vibracija, mjerenje temperature, termovizijska dijagnostika, upotreba penetranta, metoda provjere utrazvukom, mjerenje struje i otpora rotora, mjerenje magnetskog polja i mjerenje fizikalnih veličina osovine. Na kraju rada posebno je opisana metoda spektralne analize.
Abstract (english)
The main task of this work was to list and describe the most common possible failures of electrical machines in operation, and to list and describe all possible measurement methods for detecting failures and, based on each measurement, to give an assessment of the condition of each individual part of the machine through spectral analysis. In the first part of the work, the types of failures are listed and described. Electrical machine failures are divided by its parts, i.e. rotor, stator, winding, bearing and shaft failures. In the second part of the paper, a large number of methods for detecting faults are described, like visual inspection as the oldest method, vibration measurement, temperature measurement, thermal imaging diagnostics, use of penetrants, ultrasonic testing method, measurement of rotor current and resistance, measurement of the magnetic field and measurement physical dimensions of the shaft. At the end of the paper, the spectral analysis method is specifically described.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:677112
Study programmeTitle: Professional study programme of Electrical Engineering; specializations in: Power Engineering, Automation, Informatics
Course: Automation
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike (stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-10-20 12:39:14