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Title:Izvedba metode glavnih komponent v PLK za odkrivanje in izolacijo napak v procesni industriji
Authors:ID Gaberšek, Dejan (Author)
ID Bratina, Božidar (Mentor) More about this mentor... New window
ID Muškinja, Nenad (Comentor)
Files:.pdf MAG_Gabersek_Dejan_2024.pdf (3,54 MB)
MD5: 00933231F21FC7604549F819B47EE9C8
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Magistrsko delo obravnava izvedbo metode glavnih komponent (PCA) v programirljivih logičnih krmilnikih (PLK) za zaznavo in izolacijo napak v procesni industriji. Napake v industrijskih procesih lahko povzročijo velike ekonomske izgube in pogosto ostanejo prikrite z vidika klasičnega nadzora. Razvita metoda, ki je zasnovana na osnovnih matematičnih operacijah, je bila implementirana na Siemens PLK in preizkušena na laboratorijskem modelu treh medsebojno povezanih posod. Dodatno smo izdelali HMI zaslon za vizualizacijo rezultatov, kar omogoča učinkovito spremljanje napak v realnem času in njihovo izolacijo.
Keywords:avtomatizacija, odkrivanje in izolacija napak, analiza glavnih komponent, PLK, TIA portal, hidravlični model
Place of publishing:Maribor
Publisher:[D. Gaberšek]
Year of publishing:2024
PID:20.500.12556/DKUM-90673 New window
UDC:681.5.09(043.2)
COBISS.SI-ID:224272131 New window
Publication date in DKUM:22.10.2024
Views:120
Downloads:72
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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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:13.09.2024

Secondary language

Language:English
Title:Implementation of the principal component method in PLC for fault detection and isolation in the process industry
Abstract:The master's thesis focuses on the implementation of the Principal Component Analysis (PCA) method in Programmable Logic Controllers (PLC) for fault detection and isolation in the process industry. Faults in industrial processes can cause significant economic losses and often remain hidden from conventional control systems. The developed method, based on elementary mathematical operations, was implemented on a Siemens PLC and tested on a laboratory model of three interconnected tanks. Additionally, an HMI interface was created for visualizing the results, enabling effective real-time monitoring of faults and their isolation.
Keywords:Automation, Fault Detection and Isolation, Principal Component Analysis, PLC, TIA Portal, Hydraulic model


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