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An improved smooth-windowed Wigner-Ville distribution analysis for voltage variation signal

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 10 No. 5 (2020)

DOI
10.11591/ijece.v10i5.pp4982-4991
ISSN
2722-2578, 2088-8708
Published
2020-10-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

This paper outlines research conducted using bilinear time-frequency distribution (TFD), a smooth-windowed wigner-ville distribution (SWWVD) used to represent time-varying signals in time-frequency representation (TFR). Good time and frequency resolutions offer superiority in SWWVD to analyze voltage variation signals that consist of variations in magnitude. The separable kernel parameters are estimated from the signal in order to get an accurate TFR. The TFR for various kernel parameters is compared by a set of performance measures. The evaluation shows that different kernel settings are required for different signal parameters. Verification of the TFD that operated at optimal kernel parameters is then conducted. SWWVD exhibits a good performance of TFR which gives high peak-to-side lobe ratio (PSLR) and signal-to-cross-terms ratio (SCR) accompanied by low main-lobe width (MLW) and absolute percentage error (APE). This proved that the technique is appropriate for voltage variation signal analysis and it essential for development in an advanced embedded system.

Collaboration network of the authors

40 authors · 89 co-authorship links · 44 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universiti Teknikal Malaysia Melaka
  • University of Osijek
  • University of Technology Malaysia
  • Islamic Azad University, Tehran
  • Universitas Ahmad Dahlan
  • Fond za zaštitu okoliša i energetsku učinkovitost
  • Sultan Agung Islamic University
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
M. Rahimi YusoffUniversiti Teknikal Malaysia Melaka17
Nik Rumzi Nik IdrisUniversity of Technology Malaysia9
Mohammad JannatiUniversity of Technology Malaysia9
A.S. HussinUniversiti Teknikal Malaysia Melaka8
Mohd Ruddin Ab GhaniUniversiti Teknikal Malaysia Melaka8
Mohd Junaidi Abdul AzizUniversity of Technology Malaysia7
Awang JusohUniversity of Technology Malaysia7
Goran KneževićUniversity of Osijek6
Norhashimah Mohd SaadUniversiti Teknikal Malaysia Melaka6
Ljubomir MajdandžićFond za zaštitu okoliša i energetsku učinkovitost5
Zoran BausUniversity of Osijek4
Dragan MlakićAffiliation unknown4
Emir AlibašićAffiliation unknown4
Muhammad AdoUniversity of Technology Malaysia4
Lina HandayaniUniversitas Ahmad Dahlan3
Imam Much Ibnu SubrotoSultan Agung Islamic University3
Predrag MarićUniversity of Osijek3
Nursabillilah Mohd AliUniversiti Teknikal Malaysia Melaka3
Shahreen binti KasimTun Hussein Onn University of Malaysia3
Mahmoud ZadehbagheriIslamic Azad University, Tehran3
Mohammad Javad KianiIslamic Azad University, Tehran3
Vahdat NazerianUniversity of Mazandaran3
Auzani JidinUniversiti Teknikal Malaysia Melaka2
M. GhanbariAffiliation unknown2
Munawar Agus RiyadiDiponegoro University2
Deris StiawanSriwijaya University2
M. Najafi KhoshrodiAffiliation unknown2
Marko VukobratovićUniversity of Osijek2
N. S. M. NoorUniversiti Teknikal Malaysia Melaka2
Mehdi DadkhahIslamic Azad University, Tehran2
Shahaboddin ShamshirbandUniversity of Malaya2
Ahmad Saudi SamosirLampung University2
Ahmad Sobri MudaUniversiti Putra Malaysia2
Ali AjamiAffiliation unknown2
Chibuike Peter OhanuUniversity of Nigeria2

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>An improved smooth-windowed Wigner-Ville distribution analysis for voltage variation signal</dc:title><dc:creator>Manap, Mustafa</dc:creator><dc:creator>Abdullah, Abdul Rahim</dc:creator><dc:creator>Nikolovski, Srete</dc:creator><dc:creator>Sutikno, Tole</dc:creator><dc:creator>Jopri, Mohd Hatta</dc:creator><dc:description>&lt;jats:p&gt;This paper outlines research conducted using bilinear time-frequency distribution (TFD), a smooth-windowed wigner-ville distribution (SWWVD) used to represent time-varying signals in time-frequency representation (TFR). Good time and frequency resolutions offer superiority in SWWVD to analyze voltage variation signals that consist of variations in magnitude. The separable kernel parameters are estimated from the signal in order to get an accurate TFR.  The TFR for various kernel parameters is compared by a set of performance measures. The evaluation shows that different kernel settings are required for different signal parameters. Verification of the TFD that operated at optimal kernel parameters is then conducted. SWWVD exhibits a good performance of TFR which gives high peak-to-side lobe ratio (PSLR) and signal-to-cross-terms ratio (SCR) accompanied by low main-lobe width (MLW) and absolute percentage error (APE). This proved that the technique is appropriate for voltage variation signal analysis and it essential for development in an advanced embedded system.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2020-10-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v10i5.pp4982-4991</dc:identifier><dc:identifier>10.11591/ijece.v10i5.pp4982-4991</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 10 No 5 (2020); 4982</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/19013/14220</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>