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undergraduate thesis
Sustav za dijagnostiku i predviđanje kvarova
2020. urn:nbn:hr:187:865378
Labađuk, Filip
University of Rijeka
Faculty of Maritime Studies, Rijeka
Department of Marine Electronics and Communications

Cite this document

Labađuk, F. (2020). Sustav 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:187:865378

Labađuk, Filip. "Sustav za dijagnostiku i predviđanje kvarova." Undergraduate thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2020. https://urn.nsk.hr/urn:nbn:hr:187:865378

Labađuk, Filip. "Sustav za dijagnostiku i predviđanje kvarova." Undergraduate thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2020. https://urn.nsk.hr/urn:nbn:hr:187:865378

Labađuk, F. (2020). 'Sustav za dijagnostiku i predviđanje kvarova', Undergraduate thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, accessed 13 July 2024, https://urn.nsk.hr/urn:nbn:hr:187:865378

Labađuk F. Sustav za dijagnostiku i predviđanje kvarova [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka; 2020 [cited 2024 July 13] Available at: https://urn.nsk.hr/urn:nbn:hr:187:865378

F. Labađuk, "Sustav za dijagnostiku i predviđanje kvarova", Undergraduate thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, Rijeka, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:187:865378

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Metadata
TitleSustav za dijagnostiku i predviđanje kvarova
Title (english)Diagnostic and fault prediction system
AuthorFilip Labađuk
MentorJasmin Ćelić (mentor)
MentorRobert Baždarić (komentor)
GranterUniversity of Rijeka
Faculty of Maritime Studies, Rijeka
(Department of Marine Electronics and Communications)
Rijeka
Defense date and country2020-12-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract
Umjetne neuronske mreže funkcioniraju na principu umjetne inteligencije koja imitira rad čovjeka. Prva ideja o neuronskim mrežama pojavila se sredinom 19. stoljeća, a danas ima velik značaj prilikom dijagnosticiranja kvarova u brodskom sustavu. Kvarovi su prisutnih u svim sustavima, a karakterizira ih prestanak rada sustava ili ometanje normalnog rada istog. Dijagnostički sustav temeljem na neuronskim mrežama otkriva oštećenja, kvar ili zastoj na principu prikupljenih podataka koje obrađuje, i pokazuje ih kao informaciju. Postoje različite metode i strategije održavanja sustava, a najučestalije metode održavanja su: korektivno, preventivno i plansko održavanje. Odvijanje dijagnostičkog postupka temelji se na početku procesuiranja podataka, izvlačenju bitnih podataka, procjeni radnog stanja te predviđanju preostalog radnog vijeka bez kvarova. Značajno dostignuće u pomorskom sustavu su autonomni brodovi koji rade na principu umjetne inteligencije. Za ovu vrstu brodova je karakteristično da imaju već ugrađen sustav dijagnosticiranja, te da je održavanje istih značajno smanjeno nego što je to slučaj kod drugih brodova.
Abstract (english)
Artificial neural networks function on the principle of artificial intelligence that mimics human work. The first idea of neural networks appeared in the mid-19th century, and today it is of great importance in diagnosing faults in the ship's system. Faults are present in all systems, and they are characterized by the termination of the system or interference with its normal operation. A neural network-based diagnostic system detects damage, malfunction, or downtime based on the principle of the data it processes, and displays it as information. There are different methods and strategies of system maintenance, and the most common maintenance methods are: corrective, preventive and planned maintenance. The conduct of the diagnostic procedure is based on the beginning of data processing, extraction of important data, assessment of the working condition and prediction of the remaining service life without failures. A significant achievement in the maritime system are autonomous ships operating on the principle of artificial intelligence. It is characteristic of this type of ship that they already have a built-in diagnostic system, and that their maintenance is significantly reduced than is the case with other ships.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:187:865378
Study programmeTitle: Marine Electronic Engineering and Information Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektroničke i informatičke tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektroničke i informatičke tehnologije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-02-25 06:52:33