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Title:Simulation-based study of structural changes in electrical time-series signals
Authors:ID Živković, Luka (Author)
ID Hederić, Željko (Author)
ID Benšić, Tin (Author)
ID Kurtović, Goran (Author)
ID Stojkov, Marinko (Author)
Files:URL https://journals.um.si/index.php/jet/article/view/5389/3420
 
Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:FE - Faculty of Energy Technology
Abstract:his paper uses statistical indicators to address the detection of changes in electrical signals typical of industrial and power systems. A dedicated MATLAB algorithm was developed to identify change points by tracking shifts in signal behaviour and statistical properties. To evaluate the method, synthetic signals were generated through simulation to reproduce the common patterns observed in these systems, allowing testing under different operating conditions and varying noise levels. The results demonstrate that the algorithm detects change points reliably across multiple scenarios, showing flexibility and robustness. This study highlights the value of simulation-based signal generation as a controlled environment for testing detection methods. It provides a foundation for future applications to more complex real-world electrical signal analysis tasks.
Keywords:break points, energy system, noise, segmentation, signals, simulation, time series
Publication date:01.09.2025
Year of publishing:2025
Number of pages:str. [75]-83
Numbering:Letn. 18, št. 2
PID:20.500.12556/DKUM-95613 New window
UDC:620.9
ISSN on article:1855-5748
COBISS.SI-ID:251219459 New window
DOI:10.18690/jet.18.2.75-84.2025 New window
Publication date in DKUM:01.10.2025
Views:147
Downloads:2
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Secondary language

Language:Slovenian
Title:Simulacijska študija strukturnih sprememb v časovnih vrstah električnih signalov
Abstract:V tem članku so za zaznavanje sprememb v električnih signalih, značilnih za industrijske in energetske sisteme, uporabljeni statistični kazalniki. Razvit je bil namenski MATLAB-ov algoritem za prepoznavanje točk sprememb z beleženjem premikov v obnašanju signalain njegovih statističnih lastnostih. Za oceno metode so bili s simulacijo ustvarjeni sintetični signali, ki ponazarjajo pogoste vzorce v teh sistemih, kar je omogočilo testiranje pri različnih obratovalnih pogojih in različnih ravneh šuma. Rezultati kažejo, da algoritem zanesljivo zazna točke sprememb v številnih scenarijih ter s tem izkazuje prilagodljivost in robustnost. Študija poudarja vrednost simulacijskega ustvarjanja signalov kot nadzorovanega okolja za preizkušanje metod zaznavanja. S tem postavlja temelje za prihodnje uporabe pri zahtevnejši analizi realnih električnih signalov.
Keywords:prelomne točke, energetski sistem, šum, segmentacija, signali, simulacija, časovne vrste


Collection

This document is a part of these collections:
  1. Journal of energy technology

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