Partial discharge on-line monitoring of outdoor insulators

Ibrahim Y. Shurrab; Ayman El-Hag; Khaled Assaleh; Refat Ghunem

doi:10.1109/ELINSL.2012.6251496

Partial discharge on-line monitoring of outdoor insulators

Ibrahim Y. Shurrab
, Ayman El-Hag
, Khaled Assaleh
, Refat Ghunem

American University of Sharjah
University of Waterloo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

The main objective of this study is to investigate the feasibility of using an RF antenna to detect partial discharges in outdoor insulators. Moreover, the study focuses on identifying the sources of partial discharge using artificial neural networks. In outdoor insulators, partial discharges could be initiated either from surface discharge due to pollution and/or from corona discharges from energized ends. Both statistical and spectral features have been used as an input vector to a feed forward neural network with back propagation training algorithm. The proposed method is found to be successful in classifying different types of partial discharge with a recognition accuracy of 93%. The proposed method can be used during overhead line inspection to assess the status of outdoor non-ceramic insulators.

Original language	English
Title of host publication	Conference Record of the 2012 IEEE International Symposium on Electrical Insulation, ISEI 2012
Pages	391-394
Number of pages	4
DOIs	https://doi.org/10.1109/ELINSL.2012.6251496
State	Published - 2012
Externally published	Yes
Event	2012 19th IEEE International Symposium on Electrical Insulation, ISEI 2012 - San Juan, PR, United States Duration: 10 Jun 2012 → 13 Jun 2012

Publication series

Name	Conference Record of IEEE International Symposium on Electrical Insulation
ISSN (Print)	0164-2006

Conference

Conference	2012 19th IEEE International Symposium on Electrical Insulation, ISEI 2012
Country/Territory	United States
City	San Juan, PR
Period	10/06/12 → 13/06/12

Access to Document

10.1109/ELINSL.2012.6251496

Cite this

Shurrab, I. Y., El-Hag, A., Assaleh, K., & Ghunem, R. (2012). Partial discharge on-line monitoring of outdoor insulators. In Conference Record of the 2012 IEEE International Symposium on Electrical Insulation, ISEI 2012 (pp. 391-394). Article 6251496 (Conference Record of IEEE International Symposium on Electrical Insulation). https://doi.org/10.1109/ELINSL.2012.6251496

@inproceedings{34548f160e7b4a1e97732b05fe57ac85,

title = "Partial discharge on-line monitoring of outdoor insulators",

abstract = "The main objective of this study is to investigate the feasibility of using an RF antenna to detect partial discharges in outdoor insulators. Moreover, the study focuses on identifying the sources of partial discharge using artificial neural networks. In outdoor insulators, partial discharges could be initiated either from surface discharge due to pollution and/or from corona discharges from energized ends. Both statistical and spectral features have been used as an input vector to a feed forward neural network with back propagation training algorithm. The proposed method is found to be successful in classifying different types of partial discharge with a recognition accuracy of 93\%. The proposed method can be used during overhead line inspection to assess the status of outdoor non-ceramic insulators.",

author = "Shurrab, \{Ibrahim Y.\} and Ayman El-Hag and Khaled Assaleh and Refat Ghunem",

year = "2012",

doi = "10.1109/ELINSL.2012.6251496",

language = "English",

isbn = "9781467304887",

series = "Conference Record of IEEE International Symposium on Electrical Insulation",

pages = "391--394",

booktitle = "Conference Record of the 2012 IEEE International Symposium on Electrical Insulation, ISEI 2012",

note = "2012 19th IEEE International Symposium on Electrical Insulation, ISEI 2012 ; Conference date: 10-06-2012 Through 13-06-2012",

}

Shurrab, IY, El-Hag, A, Assaleh, K & Ghunem, R 2012, Partial discharge on-line monitoring of outdoor insulators. in Conference Record of the 2012 IEEE International Symposium on Electrical Insulation, ISEI 2012., 6251496, Conference Record of IEEE International Symposium on Electrical Insulation, pp. 391-394, 2012 19th IEEE International Symposium on Electrical Insulation, ISEI 2012, San Juan, PR, United States, 10/06/12. https://doi.org/10.1109/ELINSL.2012.6251496

Partial discharge on-line monitoring of outdoor insulators. / Shurrab, Ibrahim Y.; El-Hag, Ayman; Assaleh, Khaled et al.
Conference Record of the 2012 IEEE International Symposium on Electrical Insulation, ISEI 2012. 2012. p. 391-394 6251496 (Conference Record of IEEE International Symposium on Electrical Insulation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Partial discharge on-line monitoring of outdoor insulators

AU - Shurrab, Ibrahim Y.

AU - El-Hag, Ayman

AU - Assaleh, Khaled

AU - Ghunem, Refat

PY - 2012

Y1 - 2012

N2 - The main objective of this study is to investigate the feasibility of using an RF antenna to detect partial discharges in outdoor insulators. Moreover, the study focuses on identifying the sources of partial discharge using artificial neural networks. In outdoor insulators, partial discharges could be initiated either from surface discharge due to pollution and/or from corona discharges from energized ends. Both statistical and spectral features have been used as an input vector to a feed forward neural network with back propagation training algorithm. The proposed method is found to be successful in classifying different types of partial discharge with a recognition accuracy of 93%. The proposed method can be used during overhead line inspection to assess the status of outdoor non-ceramic insulators.

AB - The main objective of this study is to investigate the feasibility of using an RF antenna to detect partial discharges in outdoor insulators. Moreover, the study focuses on identifying the sources of partial discharge using artificial neural networks. In outdoor insulators, partial discharges could be initiated either from surface discharge due to pollution and/or from corona discharges from energized ends. Both statistical and spectral features have been used as an input vector to a feed forward neural network with back propagation training algorithm. The proposed method is found to be successful in classifying different types of partial discharge with a recognition accuracy of 93%. The proposed method can be used during overhead line inspection to assess the status of outdoor non-ceramic insulators.

UR - https://www.scopus.com/pages/publications/84866893042

U2 - 10.1109/ELINSL.2012.6251496

DO - 10.1109/ELINSL.2012.6251496

M3 - Conference contribution

AN - SCOPUS:84866893042

SN - 9781467304887

T3 - Conference Record of IEEE International Symposium on Electrical Insulation

SP - 391

EP - 394

BT - Conference Record of the 2012 IEEE International Symposium on Electrical Insulation, ISEI 2012

T2 - 2012 19th IEEE International Symposium on Electrical Insulation, ISEI 2012

Y2 - 10 June 2012 through 13 June 2012

ER -

Partial discharge on-line monitoring of outdoor insulators

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