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master's thesis
Inspekcija lopatica vjetroturbine pomoću umjetne inteligencije
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. urn:nbn:hr:179:847010
Križan, Petar
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Mechanical Engineering and Naval Architecture

Cite this document

Križan, P. (2021). Inspekcija lopatica vjetroturbine pomoću umjetne inteligencije (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:847010

Križan, Petar. "Inspekcija lopatica vjetroturbine pomoću umjetne inteligencije." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:847010

Križan, Petar. "Inspekcija lopatica vjetroturbine pomoću umjetne inteligencije." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:847010

Križan, P. (2021). 'Inspekcija lopatica vjetroturbine pomoću umjetne inteligencije', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 25 May 2022, https://urn.nsk.hr/urn:nbn:hr:179:847010

Križan P. Inspekcija lopatica vjetroturbine pomoću umjetne inteligencije [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2022 May 25] Available at: https://urn.nsk.hr/urn:nbn:hr:179:847010

P. Križan, "Inspekcija lopatica vjetroturbine pomoću umjetne inteligencije", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:847010

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Metadata
TitleInspekcija lopatica vjetroturbine pomoću umjetne inteligencije
Title (english)Inspection of wind turbine blades using artificial intelligence
AuthorPetar Križan
MentorBranko Klarin (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Mechanical Engineering and Naval Architecture)
Split
Defense date and country2021-02-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
U diplomskom radu obrađena je tema inspekcije lopatice vjetroturbine pomoću umjetne inteligencije. Rad se sastoji od teorijskog i eksperimentalnog dijela. U teorijskom dijelu opisani su glavni dijelovi vjetroturbine te kategorizacija oštećenja lopatica. Također, opisana je teorija umjetne inteligencije i obuhvaćen način rada i vrste neuronskih mreža. U sklopu eksperimentalnog dijela ispitane su lopatice vjetroturbine u vjetroparku Ogorje. Ispitivanja su se provodila pomoću sustava Cornis. Također, prikazan je primjer rada neuronske mreže uz pomoć algoritma u softverskom paketu MatLab.
Abstract (english)
This master thesis deals with the topic of wind turbine blade inspection using artificial intelligence. Master thesis consists of a theoretical and an experimental part. The theoretical part describes the main parts of wind turbine and categorization of blade damage. Also, the theory of artificial intelligence is described and the mode of operation and types of neural networks are included. As part of experimental section, the wind turbine blades were examined in wind farm Ogorje. The tests were performed using the Cornis system. Also, an example of neural network operation is presented with an algorithm in the MatLab software package.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:847010
Study programmeTitle: Mechanical Engineering; specializations in: Structures and Energy Technology, Computer Aided Design and Engineering, Production Mechanical Engineering
Course: Structures and Energy Technology
Study programme type: university
Study level: graduate
Academic / professional title: Magistar/magistra inženjer/inženjerka strojarstva (Magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
RepositoryRepository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Created on2021-11-23 14:04:36