Nordiana Azlin Othman
Universiti Teknologi Malaysia

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Identification of Acoustic Signals of Internal Electric Discharges on Glass Insulator under Variable Applied Voltage Nasir A. Al-geelani; M. Afendi M. Piah; Ibrahim Saeh; Nordiana Azlin Othman; Fatin Liyana Muhamedin; N. F. Kasri
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 2: April 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (696.931 KB) | DOI: 10.11591/ijece.v6i2.pp827-834

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.
Modelling on Tracking Test Condition of Polymer Nanocomposite using Finite Element Simulation Fatin Liyana Muhamedin; M. A. M. Piah; Nordiana Azlin Othman
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.2362

Abstract

Electrical tracking is a formation process of a permanent conducting path across the insulating material due to surface erosion under high voltage stress. The existing of leakage current (LC) on the wet contaminated material surface causes the generation of surface discharges that resulted in the material degradation. The effects of electric field distribution and current density on LLDPE-Natural Rubber blends material were investigated using finite element method (FEM) analysis. In this paper, a variety of physical parameters particularly contaminant flow rate, various applied voltages, material properties of permittivity and conductivity were studied when nanofiller is added to LLDPE-Natural rubber blend. The simulation works using FEM software of Quickfield was applied to the tracking test condition of IEC 60587 standard.  The results show that the electric field distributions are critical on the edges of contaminant solution path at higher voltage level. The current density and electric field distribution is increase with higher applied voltage. The polymer nanocomposite with 1-5 % of nanofiller exhibits a good resistance to tracking and erosion test.