Abstract
Outdoor high voltage insulators play a key role in power transmission systems. Due to adverse meteorological conditions, the surface of outdoor overhead insulators frequently covered with snow and ice and exposed to mechanical and electrical stress. This condition leads to insulation breakdowns and power transmission line outages. This paper studies the surface of glass insulator covered with snow, ice and wet condition using image processing techniques. Image filtering methods and state-of-the-art classification algorithms are utilized to discriminate the states of insulator surface using real images of high voltage glass insulator. The obtained results showed that four different insulator surface conditions classified correctly with the accuracy of 99%. An Unnamed Aerial Vehicle (UAV) application is proposed as a prospective data acquisition system.
| Original language | English |
|---|---|
| Title of host publication | ICHVE 2018 - 2018 IEEE International Conference on High Voltage Engineering and Application |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538650868 |
| ISBN (Print) | 9781538650868 |
| DOIs | |
| Publication status | Published - Feb 13 2019 |
| Event | 2018 IEEE International Conference on High Voltage Engineering and Application, ICHVE 2018 - Athens, Greece Duration: Sep 10 2018 → Sep 13 2018 |
Publication series
| Name | ICHVE 2018 - 2018 IEEE International Conference on High Voltage Engineering and Application |
|---|
Conference
| Conference | 2018 IEEE International Conference on High Voltage Engineering and Application, ICHVE 2018 |
|---|---|
| Country | Greece |
| City | Athens |
| Period | 9/10/18 → 9/13/18 |
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ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
Cite this
Outdoor Insulator Surface Condition Evaluation using Image Classification. / Pernebayeva, D.; Sadykova, D.; James, A. P.; Bagheri, M.
ICHVE 2018 - 2018 IEEE International Conference on High Voltage Engineering and Application. Institute of Electrical and Electronics Engineers Inc., 2019. 8642233 (ICHVE 2018 - 2018 IEEE International Conference on High Voltage Engineering and Application).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Outdoor Insulator Surface Condition Evaluation using Image Classification
AU - Pernebayeva, D.
AU - Sadykova, D.
AU - James, A. P.
AU - Bagheri, M.
PY - 2019/2/13
Y1 - 2019/2/13
N2 - Outdoor high voltage insulators play a key role in power transmission systems. Due to adverse meteorological conditions, the surface of outdoor overhead insulators frequently covered with snow and ice and exposed to mechanical and electrical stress. This condition leads to insulation breakdowns and power transmission line outages. This paper studies the surface of glass insulator covered with snow, ice and wet condition using image processing techniques. Image filtering methods and state-of-the-art classification algorithms are utilized to discriminate the states of insulator surface using real images of high voltage glass insulator. The obtained results showed that four different insulator surface conditions classified correctly with the accuracy of 99%. An Unnamed Aerial Vehicle (UAV) application is proposed as a prospective data acquisition system.
AB - Outdoor high voltage insulators play a key role in power transmission systems. Due to adverse meteorological conditions, the surface of outdoor overhead insulators frequently covered with snow and ice and exposed to mechanical and electrical stress. This condition leads to insulation breakdowns and power transmission line outages. This paper studies the surface of glass insulator covered with snow, ice and wet condition using image processing techniques. Image filtering methods and state-of-the-art classification algorithms are utilized to discriminate the states of insulator surface using real images of high voltage glass insulator. The obtained results showed that four different insulator surface conditions classified correctly with the accuracy of 99%. An Unnamed Aerial Vehicle (UAV) application is proposed as a prospective data acquisition system.
UR - http://www.scopus.com/inward/record.url?scp=85063103007&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063103007&partnerID=8YFLogxK
U2 - 10.1109/ICHVE.2018.8642233
DO - 10.1109/ICHVE.2018.8642233
M3 - Conference contribution
AN - SCOPUS:85063103007
SN - 9781538650868
T3 - ICHVE 2018 - 2018 IEEE International Conference on High Voltage Engineering and Application
BT - ICHVE 2018 - 2018 IEEE International Conference on High Voltage Engineering and Application
PB - Institute of Electrical and Electronics Engineers Inc.
ER -