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Identification of Acoustic Signals of Internal Electric Discharges on Glass Insulator under Variable Applied Voltage

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 6 No. 2 (2016)

DOI
10.11591/ijece.v6i2.9530
ISSN
2088-8708, 2088-8708
Published
2016-04-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc-nd/4.0

Abstract

A Partial Discharge (PD) is an unwanted phenomenon in electrical equipment. Therefore it is of great importance to identify different types of PD and assess their severity. This paper investigates the acoustic emissions associated with Internal Discharge (ID) from different types of sources in the time-domain. An experimental setup was arranged in the high voltage laboratory, a chamber with an electrode configuration attached to it was connected to a high voltage transformer for generating various types of PD. A laboratory experiment was done by making the models of these discharges. The test equipment including antennas as a means of detection and digital processing techniques for signal analysis were used. Wavelet signal processing was used to recover the internal discharge acoustic signal by eliminating the noises of many natures.

Collaboration network of the authors

26 authors · 87 co-authorship links · 9 across different organisations

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  • Tun Hussein Onn University of Malaysia
  • University of Technology Malaysia
  • Universiti Sains Malaysia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
N. A. OthmanUniversity of Technology Malaysia6
Nor Akmal Mohd JamailTun Hussein Onn University of Malaysia4
Nasir Ahmed AlgeelaniUniversity of Technology Malaysia4
Wazir MustafaAffiliation unknown2
Nasir Al-geelaniAffiliation unknown2
Zuraimy AdzisUniversity of Technology Malaysia2
Nasir A. Al-geelaniAffiliation unknown2
M. S. KamarudinTun Hussein Onn University of Malaysia2
M. H. M. SharifTun Hussein Onn University of Malaysia1
H. RosliTun Hussein Onn University of Malaysia1
Mohanad IsmailTun Hussein Onn University of Malaysia1
Nor Aishah MuhammadUniversiti Sains Malaysia1
Qamarul Ezani KamarudinTun Hussein Onn University of Malaysia1
Zainab ZainalTun Hussein Onn University of Malaysia1
Rahisham Abd RahmanTun Hussein Onn University of Malaysia1
Mohd Fairouz Mohd YousofTun Hussein Onn University of Malaysia1
Matiullah AhsanTun Hussein Onn University of Malaysia1
Md Nor Ramdon BaharomTun Hussein Onn University of Malaysia1
Omar Abu HassanTun Hussein Onn University of Malaysia1
Faridah HanimAffiliation unknown1

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>Identification of Acoustic Signals of Internal Electric Discharges on Glass Insulator under Variable Applied Voltage</dc:title><dc:creator>Al-geelani, Nasir A.</dc:creator><dc:creator>M. Piah, M. Afendi</dc:creator><dc:creator>Saeh, Ibrahim</dc:creator><dc:creator>Othman, Nordiana Azlin</dc:creator><dc:creator>Muhamedin, Fatin Liyana</dc:creator><dc:creator>Kasri, N. F.</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;p&amp;gt;A Partial Discharge (PD) is an unwanted phenomenon in electrical equipment. Therefore it is of great importance to identify different types of PD and assess their severity. This paper investigates the acoustic emissions associated with Internal Discharge (ID) from different types of sources in the time-domain. An experimental setup was arranged in the high voltage laboratory, a chamber with an electrode configuration attached to it was connected to a high voltage transformer for generating various types of PD. A laboratory experiment was done by making the models of these discharges. The test equipment including antennas as a means of detection and digital processing techniques for signal analysis were used. Wavelet signal processing was used to recover the internal discharge acoustic signal by eliminating the noises of many natures.&amp;lt;/p&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2016-04-01</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.v6i2.9530</dc:identifier><dc:identifier>10.11591/ijece.v6i2.9530</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 6 No 2 (2016); 827</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://www.iaescore.com/journals/index.php/IJECE/article/viewFile/165/189</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0</dc:rights></oai_dc:dc>