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master's thesis
Trendovi razvoja u području dijagnostike i upravljanja brodskih porivnih sustava
2017. urn:nbn:hr:187:279815
Šostarec, Leo
University of Rijeka
Faculty of Maritime Studies, Rijeka
Department of Marine Engineering and Ship Power Systems

Cite this document

Šostarec, L. (2017). Trendovi razvoja u području dijagnostike i upravljanja brodskih porivnih sustava (Master's thesis). Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka. Retrieved from https://urn.nsk.hr/urn:nbn:hr:187:279815

Šostarec, Leo. "Trendovi razvoja u području dijagnostike i upravljanja brodskih porivnih sustava." Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2017. https://urn.nsk.hr/urn:nbn:hr:187:279815

Šostarec, Leo. "Trendovi razvoja u području dijagnostike i upravljanja brodskih porivnih sustava." Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2017. https://urn.nsk.hr/urn:nbn:hr:187:279815

Šostarec, L. (2017). 'Trendovi razvoja u području dijagnostike i upravljanja brodskih porivnih sustava', Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, accessed 28 September 2024, https://urn.nsk.hr/urn:nbn:hr:187:279815

Šostarec L. Trendovi razvoja u području dijagnostike i upravljanja brodskih porivnih sustava [Master's thesis]. Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka; 2017 [cited 2024 September 28] Available at: https://urn.nsk.hr/urn:nbn:hr:187:279815

L. Šostarec, "Trendovi razvoja u području dijagnostike i upravljanja brodskih porivnih sustava", Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, Rijeka, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:187:279815

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Metadata
TitleTrendovi razvoja u području dijagnostike i upravljanja brodskih porivnih sustava
Title (english)DEVELOPMENT TRENDS IN THE FIELD OF DIAGNOSTICS AND CONTROL OF SHIP PROPULSION SYSTEMS
AuthorLeo Šostarec
MentorVinko Tomas (mentor)
Committee memberDragan Martinović (predsjednik povjerenstva)
Committee memberNikola Tomac (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Maritime Studies, Rijeka
(Department of Marine Engineering and Ship Power Systems)
Rijeka
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract
Suvremeni brodskih porivni sustavi podržani su ili potpuno vođeni sustavom digitalnih računala ili mikroelektroničkih komponenti. Ugradnjom inteligencije u te sustave i mogućnosti što ih pružaju nove tehnologije i tehnike posebno softverske: ekspertni sustavi, neuronske mreže, prepoznavanje uzoraka i druge, moguće je ove sustave učiniti visoko otpornim i tolerantnim na kvarove. To je najbolji način povećanja pouzdanosti i raspoloživosti brodskog porivnog sustava i broda kao cjeline. Dizelski motor se danas u propulzijskom procesu broda najčešće koristi te mu se posljednjih godina posvećuje posebna pozornost u pogledu na poboljšanja dijagnostike i ukupnih performansi, a time i sustava upravljanja koji će omogućiti toleranciju kvarova u tijeku operativnog rada. Sustav za dijagnostiku i upravljanje temelji se na stručnom znanju, što znači da operater mora biti profesionalno obučen kako bi efikasno prepoznao grešku ili kvar i predložio hardversku i softversku strukturu, te kombinirani pristup upravljanju, koji najbolje mogu udovoljiti zahtjevima za tolerancijom i prilagodbom na kvarove.
Abstract (english)
Modern marine propulsion systems are either supported or fully managed digital computer system or microelectronic component. Installing intelligence into these systems, they provide new technologies and techniques, particular in expert systems, artificial neural networks, sample recognition and others, making these systems highly resistant and tolerant to failures. This is the best way to increase reliability and availability for propulsion system and ship. The disel engine is the most commonly used in marine propulsion system, and in recent years a lot of attention is invested to in improving diagnostics, overall performance and management system that will allow tolerance of malfunctions in the course of operational work. The diagnostic and management system is based on expert knowledge, which means that the operator must be trained professionally to detect an error or malfunction effectively, and propose a hardware and software structure and combined management approache that best meets adjustment and fault tolerance requirements.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:187:279815
Study programmeTitle: Marine Engineering and Maritime Transport Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka brodostrojarstva i pomorske tehnologije (magistar/magistra inženjer/inženjerka brodostrojarstva i pomorske tehnologije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2018-04-18 07:57:02