HIGH VOLTAGE INSULATOR REAL-TIME CONDITION CLASSIFICATION
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Date
2024-04-19
Authors
Gylymbekov, Askar
Journal Title
Journal ISSN
Volume Title
Publisher
Nazarbayev University School of Engineering and Digital Sciences
Abstract
Insulators have a dual purpose of mechanically
supporting and electrically isolating live phase
conductors from the support tower in power
systems. Due to experiencing harsh weather
conditions, insulators may become contami
nated or damaged. As a result, electrical and
mechanical properties of insulator may deteri
orate. Thus, it is significant to automize the
process of condition classification of High Volt
age insulator to prevent accidents and there
fore ensuring secure service of transmission
lines. This paper examines the effect of pol
lution at insulator’s surfaces to the Dielectric
Dissipation Factor and therefore research was
conducted in 2 different disciplines: 1) Calculation of dielectric dissipation factor using
Ansys Maxwell software; 2) High voltage in
sulators contamination type classification us
ing Convolutional Neural Networks. Ansys
Maxwell software is used to simulate the Di
electric Dissipation Factor of insulator under
different types of contamination. In this part,
three contamination levels (light, medium and
heavy) will be considered which include soil,
cement, iron, calcium and aluminum as pollu
tants. The results show trend in which DDF
increases with an increase of contamination
level. In image classification part, Convolu
tional Neural Networks will be used to cre
ate a classifier. Insulators will be classified be
tween 4 types and these are: clean, contami
nated with soil, contaminated with water and
contaminated with snow. Validation set assess
ment results in 91% of accuracy.
Description
Keywords
Type of access: Open access, Insulators, Dielectric Dissipation Factor, Ansys, Machine Learning, Convolutional Neural Networks
Citation
Gylymbekov, A. (2024). High Voltage Insulator Real-time Condition Classification. Nazarbayev University School of Engineering and Digital Sciences