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undergraduate thesis
Sustavi za dijagnostiku i predviđanje kvarova
2021. urn:nbn:hr:187:931807
Jurišić, Dejan
University of Rijeka
Faculty of Maritime Studies, Rijeka
Department of Marine Engineering and Ship Power Systems

Cite this document

Jurišić, D. (2021). Sustavi za dijagnostiku i predviđanje kvarova (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka. Retrieved from https://urn.nsk.hr/urn:nbn:hr:187:931807

Jurišić, Dejan. "Sustavi za dijagnostiku i predviđanje kvarova." Undergraduate thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2021. https://urn.nsk.hr/urn:nbn:hr:187:931807

Jurišić, Dejan. "Sustavi za dijagnostiku i predviđanje kvarova." Undergraduate thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2021. https://urn.nsk.hr/urn:nbn:hr:187:931807

Jurišić, D. (2021). 'Sustavi za dijagnostiku i predviđanje kvarova', Undergraduate thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, accessed 22 October 2024, https://urn.nsk.hr/urn:nbn:hr:187:931807

Jurišić D. Sustavi za dijagnostiku i predviđanje kvarova [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka; 2021 [cited 2024 October 22] Available at: https://urn.nsk.hr/urn:nbn:hr:187:931807

D. Jurišić, "Sustavi za dijagnostiku i predviđanje kvarova", Undergraduate thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, Rijeka, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:187:931807

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Metadata
TitleSustavi za dijagnostiku i predviđanje kvarova
Title (english)System for diagnosis and prediction failure/damage
AuthorDejan Jurišić
MentorVinko Tomas (mentor)
GranterUniversity of Rijeka
Faculty of Maritime Studies, Rijeka
(Department of Marine Engineering and Ship Power Systems)
Rijeka
Defense date and country2021-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract
Sustavi za dijagnostiku i predviđanje kvarova na brodu nezamjenjiv su dio brodskog sustava jer omogućuju predviđanje kvarova i pravovremeno uklanjanje kvarova. Takvim sustavima omogućava se ispravnost sustava i sigurnost plovidbe, a time brodski sustav postaje učinkovitiji i isplativiji. Kvar nastaje kad postoje odstupanja od zadanih parametara rada. Dijagnostičkim postupcima mogu se predvidjeti odstupanja od zadanih parametara ili se otkrivaju odstupanja od zadanih parametara. Sustavi umjetnih neuronskih mreža koriste se u različitim gospodarskim područjima, a za brodske sustave posebno su važni jer uspješno obrađuju nelinearne izlazne podatke.
Abstract (english)
On-board diagnostic and fault detection systems are an indispensable part of the ship's system as they enable fault prediction and timely troubleshooting. Such systems enable the correctness of the system and the safety of navigation, and thus the ship's system becomes more efficient and cost-effective. A fault occurs when there are deviations from the set operating parameters. Diagnostic procedures can predict deviations from the set parameters or detect deviations from the set parameters. Artificial neural network systems are used in various economic areas, and are particularly important for marine systems because they successfully process nonlinear output.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:187:931807
Study programmeTitle: Marine Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka brodostrojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka brodostrojarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2021-12-16 07:41:51