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An analysis of voltage source inverter switches fault classification using short time Fourier transform

International Journal of Power Electronics and Drive Systems · Vol. 12 No. 4 (2021) · hlm. 2209–2220

DOI
10.11591/ijpeds.v12.i4.pp2209-2220
ISSN
2722-256X, 2088-8694
Terbit
2021-12-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The dependability of power electronics systems, such as three-phase inverters, is critical in a variety of applications. Different types of failures that occur in an inverter circuit might affect system operation and raise the entire cost of the manufacturing process. As a result, detecting and identifying inverter problems for such devices is critical in industry. This study presents the short-time Fourier transform (STFT) for fault classification and identification in three-phase type, voltage source inverter (VSI) switches. TFR represents the signal analysis of STFT, which includes total harmonic distortion, instantaneous RMS current, RMS fundamental current, total non harmonic distortion, total waveform distortion and average current. The features of the faults are used with a rule-based classifier based on the signal parameters to categorise and detect the switch faults. The suggested method's performance is evaluated using 60 signals containing short and open circuit faults with varying characteristics for each switch in VSI. The classification results demonstrate the proposed technique is good to be implemented for VSI switches faults classification, with an accuracy classification rate of 98.3 percent.

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  • Universiti Teknikal Malaysia Melaka
  • University of Technology Malaysia
  • University of Osijek
  • Universitas Ahmad Dahlan
  • Islamic Azad University Yasuj
  • Diponegoro University
  • Universiti Malaysia Perlis
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Rekan penulisOrganisasiArtikel bersama
Auzani JidinUniversiti Teknikal Malaysia Melaka41
Nik Rumzi Nik IdrisUniversity of Technology Malaysia31
Abdul Rahim AbdullahUniversiti Teknikal Malaysia Melaka27
Awang JusohUniversity of Technology Malaysia17
Mohammad JannatiUniversity of Technology Malaysia16
Mohd Junaidi Abdul AzizUniversity of Technology Malaysia16
M. Rahimi YusoffUniversiti Teknikal Malaysia Melaka15
Kasrul Abdul KarimUniversiti Teknikal Malaysia Melaka13
Mohamed SalemUniversiti Sains Malaysia10
Lina HandayaniUniversitas Ahmad Dahlan8
Shahreen binti KasimTun Hussein Onn University of Malaysia8
Mahmoud ZadehbagheriIslamic Azad University Yasuj8
Siti Azura Ahmad TarusanUniversiti Teknikal Malaysia Melaka7
Nor Azizah Mohd YusoffUniversiti Teknikal Malaysia Melaka7
Shahrin Md AyobUniversity of Technology Malaysia7
Aiman Zakwan JidinUniversiti Teknikal Malaysia Melaka6
Goran KneževićUniversity of Osijek6
Mochammad FactaDiponegoro University6
Mohammad Faridun Naim TajuddinUniversiti Malaysia Perlis6
Ibrahim AlhamrouniUniversity of Kuala Lumpur6
Hendril Satrian PurnamaAfiliasi tidak diketahui6
Ljubomir MajdandžićFond za zaštitu okoliša i energetsku učinkovitost5
Watra ArsadiandoAfiliasi tidak diketahui5
Azralmukmin AzmiUniversiti Malaysia Perlis5
Norjulia Mohamad NordinUniversity of Technology Malaysia5
Anggit PamungkasAfiliasi tidak diketahui5
Ibrahim Mohd AlsofyaniUniversity of Technology Malaysia5
Zoran BausUniversity of Osijek4
Munawar Agus RiyadiDiponegoro University4
Imam Much Ibnu SubrotoSultan Agung Islamic University4
Dragan MlakićAfiliasi tidak diketahui4
Emir AlibašićAfiliasi tidak diketahui4
Muhammad AdoUniversity of Technology Malaysia4
Mohammad Javad KianiIslamic Azad University Yasuj4

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">An analysis of voltage source inverter switches fault classification using short time Fourier transform</dc:title>
	<dc:creator>Manap, Mustafa</dc:creator>
	<dc:creator>Nikolovski, Srete</dc:creator>
	<dc:creator>Skamyin, Aleksandr</dc:creator>
	<dc:creator>Karim, Rony</dc:creator>
	<dc:creator>Sutikno, Tole</dc:creator>
	<dc:creator>Jopri, Mohd Hatta</dc:creator>
	<dc:subject xml:lang="en-US">Distributed Generation, Overcurrent Relay, Microgrid, Fault analysis, Coordination Time</dc:subject>
	<dc:description xml:lang="en-US">The dependability of power electronics systems, such as three-phase inverters, is critical in a variety of applications. Different types of failures that occur in an inverter circuit might affect system operation and raise the entire cost of the manufacturing process. As a result, detecting and identifying inverter problems for such devices is critical in industry. This study presents the short-time Fourier transform (STFT) for fault classification and identification in three-phase type, voltage source inverter (VSI) switches. TFR represents the signal analysis of STFT, which includes total harmonic distortion, instantaneous RMS current, RMS fundamental current, total non harmonic distortion, total waveform distortion and average current. The features of the faults are used with a rule-based classifier based on the signal parameters to categorise and detect the switch faults. The suggested method's performance is evaluated using 60 signals containing short and open circuit faults with varying characteristics for each switch in VSI. The classification results demonstrate the proposed technique is good to be implemented for VSI switches faults classification, with an accuracy classification rate of 98.3 percent.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2021-12-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/21455</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v12.i4.pp2209-2220</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 12, No 4: December 2021; 2209-2220</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v12.i4</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/21455/13769</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Mustafa Manap, Srete Nikolovski, Aleksandr Skamyin, Rony Karim, Tole Sutikno, Mohd Hatta Jopri</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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