Prediktivni model tehničke ispravnosti vozila temeljem tehničkih pregleda

Šiško, Igor

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doctoral thesis

Prediktivni model tehničke ispravnosti vozila temeljem tehničkih pregleda

Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2015. urn:nbn:hr:235:361568

Šiško, Igor

University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

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APA 6th Edition

Šiško, I. (2015). Prediktivni model tehničke ispravnosti vozila temeljem tehničkih pregleda (Doctoral thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:361568

MLA 8th Edition

Šiško, Igor. "Prediktivni model tehničke ispravnosti vozila temeljem tehničkih pregleda." Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2015. https://urn.nsk.hr/urn:nbn:hr:235:361568

Chicago 17th Edition

Harvard

Šiško, I. (2015). 'Prediktivni model tehničke ispravnosti vozila temeljem tehničkih pregleda', Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 25 March 2023, https://urn.nsk.hr/urn:nbn:hr:235:361568

Vancouver

Šiško I. Prediktivni model tehničke ispravnosti vozila temeljem tehničkih pregleda [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2015 [cited 2023 March 25] Available at: https://urn.nsk.hr/urn:nbn:hr:235:361568

IEEE

I. Šiško, "Prediktivni model tehničke ispravnosti vozila temeljem tehničkih pregleda", Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:235:361568

Cite this item: https://urn.nsk.hr/urn:nbn:hr:235:361568

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Metadata

Title	Prediktivni model tehničke ispravnosti vozila temeljem tehničkih pregleda
Title (english)	Predictive roadworthiness of vehicles model based on periodical technical inspections
Author	Igor Šiško VIAF: 305748455
Mentor	Dragutin Lisjak (mentor)
Committee member	Biserka Runje (predsjednik povjerenstva)
Committee member	Dragutin Lisjak (član povjerenstva)
Committee member	Ivica Veža (član povjerenstva) MBZ: 95643
Committee member	Zoran Jurković (član povjerenstva)
Granter	University of Zagreb Faculty of Mechanical Engineering and Naval Architecture Zagreb
Defense date and country	2015-07-02, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Mechanical Engineering
Universal decimal classification (UDC)	629.3 - Land vehicle engineering (excluding rail vehicles)
Abstract	Tehnički pregled vozila djelatnost je od općeg (nacionalnog) interesa u kontekstu provjere tehničke ispravnosti vozila, koja ima izravni utjecaj na razinu sigurnosti prometa na cestama. Povratna informacija glede rezultata tehničkog pregleda vozila, posebno u situaciji kada se na vozilu utvrde tehničke neispravnosti koje za posljedicu imaju negativan rezultat vozila na tehničkom pregledu (“pad” vozila na tehničkom pregledu), od iznimnog je značaja za proizvođača i vlasnika/korisnika vozila, kako u pogledu podizanja razine tehničke ispravnosti vozila u eksploataciji, tako i u pogledu gospodarenja istim. Cilj ovog znanstvenog istraživanja je izraditi prediktivni model tehničke ispravnosti osobnih vozila temeljem rezultata tehničkih pregleda, primjenom metoda poslovne inteligencije (rudarenja podataka, stabla odlučivanja, CHAID algoritmi, neuronske mreže).
Abstract (english)	Technical vehicles inspection procedure is of general (national) interest in the context of the roadworthiness of vehicles, which has a direct impact on the security of the Road Traffic safety. Feedback regarding the results of periodical technical inspections (PTI) of vehicles, especially in a situation where the vehicle malfunctions are determined, result in a negative outcome in the vehicle technical inspection, is of great importance for the manufacturers and owners/users of vehicles, both in the context of raising the level of roadworthiness of vehicles in exploitation and in the same context, management. Main goal of this scientific research is to build a predictive roadworthiness of passenger vehicles model based on the results of technical inspections, by using methods of Business Intelligence (Data Mining, Decision trees, CHAID algorithms, neural networks).
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:235:361568
Study programme	Title: Mechanical Engineering and Naval Architecture Study programme type: university Study level: postgraduate Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti (doktor/doktorica znanosti, područje tehničkih znanosti)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb
Created on	2020-12-04 07:37:44