High voltage insulator surface evaluation using image processing

Damira Pernebayeva, Mehdi Bagheri, Alex James

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

High voltage insulators are widely deployed in power systems to isolate the live- and dead-part of overhead lines as well as to support the power line conductors mechanically. Permanent, secure and safe operation of power transmission lines require that the high voltage insulators are inspected and monitor, regularly. Severe environment conditions will influence insulator surface and change creepage distance. Consequently, power utilities and transmission companies face significant problem in operation due to insulator damage or contamination. In this study, a new technique is developed for real-time inspection of insulator and estimating the snow, ice and water over the insulator surface which can be a potential risk of operation breakdown. To examine the proposed system, practical experiment is conducted using ceramic insulator for capturing the images with snow, ice and wet surface conditions. Gabor and Standard deviation filters are utilized for image feature extraction. The best achieved recognition accuracy rate was 87% using statistical approach the Standard deviation.

Original languageEnglish
Title of host publicationProceedings of 2017 International Symposium on Electrical Insulating Materials, ISEIM 2017
PublisherThe Institute of Electrical Engineers of Japan
Pages520-523
Number of pages4
Volume2
ISBN (Electronic)9784886860996
DOIs
Publication statusPublished - Dec 4 2017
Event2017 International Symposium on Electrical Insulating Materials, ISEIM 2017 - Toyohashi, Japan
Duration: Sep 11 2017Sep 15 2017

Conference

Conference2017 International Symposium on Electrical Insulating Materials, ISEIM 2017
CountryJapan
CityToyohashi
Period9/11/179/15/17

Fingerprint

Image processing
Ice
Snow
Electric potential
Overhead lines
Power transmission
Feature extraction
Electric lines
Contamination
Inspection
Water
Industry
Experiments

Keywords

  • Gabor filter
  • Image processing
  • Inspection technique
  • Insulator
  • K-NN classifier
  • Standard deviation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Pernebayeva, D., Bagheri, M., & James, A. (2017). High voltage insulator surface evaluation using image processing. In Proceedings of 2017 International Symposium on Electrical Insulating Materials, ISEIM 2017 (Vol. 2, pp. 520-523). The Institute of Electrical Engineers of Japan. https://doi.org/10.23919/ISEIM.2017.8166540

High voltage insulator surface evaluation using image processing. / Pernebayeva, Damira; Bagheri, Mehdi; James, Alex.

Proceedings of 2017 International Symposium on Electrical Insulating Materials, ISEIM 2017. Vol. 2 The Institute of Electrical Engineers of Japan, 2017. p. 520-523.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pernebayeva, D, Bagheri, M & James, A 2017, High voltage insulator surface evaluation using image processing. in Proceedings of 2017 International Symposium on Electrical Insulating Materials, ISEIM 2017. vol. 2, The Institute of Electrical Engineers of Japan, pp. 520-523, 2017 International Symposium on Electrical Insulating Materials, ISEIM 2017, Toyohashi, Japan, 9/11/17. https://doi.org/10.23919/ISEIM.2017.8166540
Pernebayeva D, Bagheri M, James A. High voltage insulator surface evaluation using image processing. In Proceedings of 2017 International Symposium on Electrical Insulating Materials, ISEIM 2017. Vol. 2. The Institute of Electrical Engineers of Japan. 2017. p. 520-523 https://doi.org/10.23919/ISEIM.2017.8166540
Pernebayeva, Damira ; Bagheri, Mehdi ; James, Alex. / High voltage insulator surface evaluation using image processing. Proceedings of 2017 International Symposium on Electrical Insulating Materials, ISEIM 2017. Vol. 2 The Institute of Electrical Engineers of Japan, 2017. pp. 520-523
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