Volume 6, Issue 6, November 2018, Page: 88-95
A Leakage Current Forecast of the Polymeric Insulator Using ANFIS Method Based on LabView Pre-processed Thermal Image
Darwison Darwison, Department of Electrical Engineering, Universitas Andalas, Padang, Indonesia; Department of Chemistry, Universitas Andalas, Padang, Indonesia
Syukri Arief, Department of Chemistry, Universitas Andalas, Padang, Indonesia
Hairul Abral, Department of Mechanical Engineering, Universitas Andalas, Padang, Indonesia
Ariadi Hazmi, Department of Electrical Engineering, Universitas Andalas, Padang, Indonesia
Novizon Novizon, Department of Electrical Engineering, Universitas Andalas, Padang, Indonesia
Aulia Aulia, Department of Electrical Engineering, Universitas Andalas, Padang, Indonesia
Eka Putra Waldi, Department of Electrical Engineering, Universitas Andalas, Padang, Indonesia
Received: Oct. 28, 2018;       Accepted: Dec. 4, 2018;       Published: Jan. 4, 2019
DOI: 10.11648/j.ijsts.20180606.11      View  222      Downloads  74
Abstract
This paper reports estimates of leaky currents based on Thermal (Infrared) images of polymer insulators using LabVIEW as preliminary data from the ANFIS method for the purpose of condition-based non-contact monitoring. In this study, images of very high contaminated polymer insulators were taken using the FLIR-A600 thermal camera series. The laboratory pollution performance test is carried out in accordance with the standards of IEC 60507 with an 18 kV AC voltage. The pollution severity is indicated because the ESDD value is very high contaminated and the relative humidity conditions are maintained at the range of 85% RH to 95% RH and temperature at 28°C. Humidity and temperature are maintained through a mist-producing container that is connected to a controlled polymer isolator test container using an Arduino microcontroller with temperature and humidity sensors. LabVIEW is used to calculate the percentage of RGB color from a thermal image related to a certain measured leakage current. This RGB data is training data for ANFIS to predict leaky currents. The results show that this method is able to predict current leakage without spending time to reach RMSE 0.00008. By adding a calculation to determine the condition of the insulator in the category of Safe, Maintenance or Hazard so that the Field Technician can decide whether the insulator must be replaced or not. With a non-contact method that only through thermal analysis of polymer insulators can accelerate the process of checking the condition of the insulator.
Keywords
Polymeric Insulator, Leakage Current, Partial Discharge, Infrared Images, Pollution
To cite this article
Darwison Darwison, Syukri Arief, Hairul Abral, Ariadi Hazmi, Novizon Novizon, Aulia Aulia, Eka Putra Waldi, A Leakage Current Forecast of the Polymeric Insulator Using ANFIS Method Based on LabView Pre-processed Thermal Image, International Journal of Science, Technology and Society. Vol. 6, No. 6, 2018, pp. 88-95. doi: 10.11648/j.ijsts.20180606.11
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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