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Comparative detection and fault location in underground cables using Fourier and modal transforms

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 12 No. 6 (2022)

DOI
10.11591/ijece.v12i6.pp5821-5839
ISSN
2722-2578, 2088-8708
Published
2022-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

In this research, we create a single-phase to ground synthetic fault by the simulation of a three-phase cable system and identify the location using mathematical techniques of Fourier and modal transforms. Current and voltage signals are measured and analyzed for fault location by the reflection of the waves between the measured point and the fault location. By simulating the network and line modeling using alternative transient programs (ATP) and MATLAB software, two single-phase to ground faults are generated at different points of the line at times of 0.3 and 0.305 s. First, the fault waveforms are displayed in the ATP software, and then this waveform is transmitted to MATLAB and presented along with its phasor view over time. In addition to the waveforms, the detection and fault location indicators are presented in different states of fault. Fault resistances of 1, 100, and 1,000 ohms are considered for fault creation and modeling with low arch strength. The results show that the proposed method has an average fault of less than 0.25% to determine the fault location, which is perfectly correct. It is varied due to changing the conditions of time, resistance, location, and type of error but does not exceed the above value.

Collaboration network of the authors

40 authors · 96 co-authorship links · 53 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 Technology Malaysia
  • Islamic Azad University, Tehran
  • Universitas Ahmad Dahlan
  • Damghan University
  • University of Mazandaran
  • 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
Nik Rumzi Nik IdrisUniversity of Technology Malaysia9
Mohammad JannatiUniversity of Technology Malaysia9
Mohd Hatta JopriUniversiti Teknikal Malaysia Melaka8
Mohd Junaidi Abdul AzizUniversity of Technology Malaysia7
Mustafa ManapUniversiti Teknikal Malaysia Melaka7
Awang JusohUniversity of Technology Malaysia7
Abdul Rahim AbdullahUniversiti Teknikal Malaysia Melaka6
M. Rahimi YusoffUniversiti Teknikal Malaysia Melaka4
Muhammad AdoUniversity of Technology Malaysia4
Lina HandayaniUniversitas Ahmad Dahlan3
Imam Much Ibnu SubrotoSultan Agung Islamic University3
Shahreen binti KasimTun Hussein Onn University of Malaysia3
Auzani JidinUniversiti Teknikal Malaysia Melaka2
M. GhanbariAffiliation unknown2
Munawar Agus RiyadiDiponegoro University2
Deris StiawanSriwijaya University2
M. Najafi KhoshrodiAffiliation unknown2
A.S. HussinUniversiti Teknikal Malaysia Melaka2
Mohd Ruddin Ab GhaniUniversiti Teknikal Malaysia Melaka2
Mehdi DadkhahIslamic Azad University, Tehran2
Shahaboddin ShamshirbandUniversity of Malaya2
Ahmad Saudi SamosirLampung University2
Ali AjamiAffiliation unknown2
Chibuike Peter OhanuUniversity of Nigeria2
Aiman Zakwan JidinUniversiti Teknikal Malaysia Melaka1
Rozana AlikUniversity of Technology Malaysia1
M.F. HabbanUniversiti Teknikal Malaysia Melaka1
Muhammad Firdaus Abd RazakUniversity of Technology Malaysia1
Mohamad Hamka Bin SaifulUniversity of Technology Malaysia1
Abdul Rashid HusainUniversity of Technology Malaysia1
Sahazati Md RozaliUniversiti Teknikal Malaysia Melaka1
Muhammad Nizam KamarudinUniversiti Teknikal Malaysia Melaka1
Abdulhamid Usman MutawakkilUniversity of Technology Malaysia1
Moloud AbdarDamghan University1
Sharareh Rostam Niakan KalhoriDamghan University1

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
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