Scientific Visualization, 2019, volume 11, number 2, pages 88 - 98, DOI: 10.26583/sv.11.2.07
Visualization of high-voltage insulators defects on infrared images using computer vision methods
Authors: A.D. Zaripova1, D.K. Zaripov2, A.E. Usachev3
Kazan State Power Engineering University, Kazan, Russian Federation
1 ORCID: 0000-0003-1930-4074, alina17@bk.ru
2 ORCID: 0000-0002-3767-010X, dzaripov@list.ru
3 ORCID: 0000-0002-6645-676X, aleksandr_usachev@rambler.ru
Abstract
Image processing by using computer vision methods to extract information based on images is a very important task these days and finds its application in various applied fields. Systems for online monitoring of the equipment used in electrical substations and their condition are based on computer vision techniques that automatically detect and assess equipment defects.
This article describes the results of visualization of the main methods of computer vision for detecting insulator defects on the basis of an experiment with samples of infrared images of insulators. The results of a comparative analysis related to the methods of segmentation of infrared images can be considered as a basis for developing a program for an automated thermal imaging system for possible online monitoring of an electrical substation in real time.
Keywords: thermal control, online monitoring of electrical equipment, thermal methods of diagnosis, the temperature anomaly, assessment of fault degree.
