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Title:Uporaba spektralne analize v energetiki : diplomsko delo
Authors:ID Božnik, Sara (Author)
ID Klemenčič, Eva (Mentor) More about this mentor... New window
ID Predin, Andrej (Comentor)
Files:.pdf UN_Boznik_Sara_2024.pdf (6,71 MB)
MD5: E5B5E26F20F1849C9E61756DDB65C59B
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FE - Faculty of Energy Technology
Abstract:V diplomskem delu je predstavljen splošni pregled uporabe spektralne analize v energetiki s poudarkom na problematiki hrupa in vibracij v energetskih postrojih. Razvili smo kodo za izvedbo spektralne analize zvoka na podlagi hitre Fouriereve transformacije v računalniškem okolju Matlab in jo uporabili na merilnih podatkih zvoka. V ta namen smo predstavili potrebno matematično ozadje za razumevanje Fouriereve analize. Ker so dandanes računalniki in druge pametne naprave široko dostopne, smo preizkusili tudi izbran računalniški program in mobilno aplikacijo, ki ne zahtevata znanja programiranja.
Keywords:spektralna analiza, hitra Fouriereva transformacija, zvok, hrup
Place of publishing:Velenje
Place of performance:Velenje
Publisher:[S. Božnik]
Year of publishing:2024
Number of pages:XVII, 84 f.
PID:20.500.12556/DKUM-86189 New window
UDC:543.42:620.9(043.2)
COBISS.SI-ID:189353219 New window
Publication date in DKUM:18.03.2024
Views:620
Downloads:86
Metadata:XML DC-XML DC-RDF
Categories:FE
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:19.10.2023

Secondary language

Language:English
Title:Application of spectral analysis in energy technology
Abstract:This diploma thesis presents an overview of application of spectral analysis in energy technology. The emphasis is on issues of noise and vibrations in power plants. We developed a code in programming platform Matlab to perform spectral analysis based on Fast Fourier transformation. We applied that code on sound wave measurement data. We defined necessary mathematical background for understanding Fourier analysis. Since nowadays computers and other smart devices are widely available, we tested chosen computer programme and mobile app for which we do not need knowledge of programming.
Keywords:spectral analysis, fast Fourier transformation, sound, noise


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