Received signal strength intensity based localization of partial discharge in high voltage systems

U Khan; P Lazaridis; H Mohamed; D Upton; K Mistry; B Saeed; P Mather; R C Atkinson; C Tachtatzis; I A Glover

doi:10.23919/IConAC.2018.8749101

Received signal strength intensity based localization of partial discharge in high voltage systems

U Khan, P Lazaridis, H Mohamed, D Upton, K Mistry, B Saeed, P Mather, R C Atkinson, C Tachtatzis, I A Glover

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

6 Citations (Scopus)

17 Downloads (Pure)

Abstract

Partial discharge (PD) refers to the release of energy that occurs due to insulation cracks that partially bridge conductors. The ultimate consequence of PD activity in high voltage systems is a catastrophic failure. The continuous monitoring of PD activity contributes to avoidance of such failures. In this paper, a novel localization algorithm is proposed. The PD location was estimated for ten different positions. The PD signal was generated by using an emulator, and eight measurement sensors have been used. The received signal was converted into distance and the location estimation performed satisfactorily with no prior information of path loss model parameters. The results obtained show that increasing the number of measurement sensors reduces the estimation error.

Original language	English
Title of host publication	2018 24th International Conference on Automation and Computing (ICAC)
Place of Publication	Piscataway, N.J.
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	978-1-86220-341-9
DOIs	https://doi.org/10.23919/IConAC.2018.8749101
Publication status	Published - 7 Sept 2018
Event	24th International Conference on Automation and Computing - http://www.cacsuk.co.uk/index.php/conferences/icac, Newcastle Upon Tyne, United Kingdom Duration: 6 Sept 2018 → 7 Sept 2018

Conference

Conference	24th International Conference on Automation and Computing
Abbreviated title	ICAC
Country/Territory	United Kingdom
City	Newcastle Upon Tyne
Period	6/09/18 → 7/09/18

Keywords

partial discharges
sensors
position measurement
high voltage systems

Access to Document

10.23919/IConAC.2018.8749101

Khan-etal-ICAC-2018-Received-signal-strength-intensity-based-localizationAccepted author manuscript, 491 KB

Scalable Radiometric Wireless Sensor Network for Partial Discharge Monitoring in the Future Smart Grid
Atkinson, R. (Principal Investigator), Judd, M. (Co-investigator) & Soraghan, J. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
3/04/13 → 1/04/18
Project: Research

Cite this

@inproceedings{7eaf00a11e444c4e8a11f3c1b60963fa,

title = "Received signal strength intensity based localization of partial discharge in high voltage systems",

abstract = "Partial discharge (PD) refers to the release of energy that occurs due to insulation cracks that partially bridge conductors. The ultimate consequence of PD activity in high voltage systems is a catastrophic failure. The continuous monitoring of PD activity contributes to avoidance of such failures. In this paper, a novel localization algorithm is proposed. The PD location was estimated for ten different positions. The PD signal was generated by using an emulator, and eight measurement sensors have been used. The received signal was converted into distance and the location estimation performed satisfactorily with no prior information of path loss model parameters. The results obtained show that increasing the number of measurement sensors reduces the estimation error.",

keywords = "partial discharges, sensors, position measurement, high voltage systems",

author = "U Khan and P Lazaridis and H Mohamed and D Upton and K Mistry and B Saeed and P Mather and Atkinson, {R C} and C Tachtatzis and Glover, {I A}",

year = "2018",

month = sep,

day = "7",

doi = "10.23919/IConAC.2018.8749101",

language = "English",

booktitle = "2018 24th International Conference on Automation and Computing (ICAC)",

publisher = "IEEE",

note = "24th International Conference on Automation and Computing, ICAC ; Conference date: 06-09-2018 Through 07-09-2018",

}

Khan, U, Lazaridis, P, Mohamed, H, Upton, D, Mistry, K, Saeed, B, Mather, P, Atkinson, RC , Tachtatzis, C & Glover, IA 2018, Received signal strength intensity based localization of partial discharge in high voltage systems. in 2018 24th International Conference on Automation and Computing (ICAC). IEEE, Piscataway, N.J., 24th International Conference on Automation and Computing, Newcastle Upon Tyne, United Kingdom, 6/09/18. https://doi.org/10.23919/IConAC.2018.8749101

TY - GEN

T1 - Received signal strength intensity based localization of partial discharge in high voltage systems

AU - Khan, U

AU - Lazaridis, P

AU - Mohamed, H

AU - Upton, D

AU - Mistry, K

AU - Saeed, B

AU - Mather, P

AU - Atkinson, R C

AU - Tachtatzis, C

AU - Glover, I A

PY - 2018/9/7

Y1 - 2018/9/7

N2 - Partial discharge (PD) refers to the release of energy that occurs due to insulation cracks that partially bridge conductors. The ultimate consequence of PD activity in high voltage systems is a catastrophic failure. The continuous monitoring of PD activity contributes to avoidance of such failures. In this paper, a novel localization algorithm is proposed. The PD location was estimated for ten different positions. The PD signal was generated by using an emulator, and eight measurement sensors have been used. The received signal was converted into distance and the location estimation performed satisfactorily with no prior information of path loss model parameters. The results obtained show that increasing the number of measurement sensors reduces the estimation error.

AB - Partial discharge (PD) refers to the release of energy that occurs due to insulation cracks that partially bridge conductors. The ultimate consequence of PD activity in high voltage systems is a catastrophic failure. The continuous monitoring of PD activity contributes to avoidance of such failures. In this paper, a novel localization algorithm is proposed. The PD location was estimated for ten different positions. The PD signal was generated by using an emulator, and eight measurement sensors have been used. The received signal was converted into distance and the location estimation performed satisfactorily with no prior information of path loss model parameters. The results obtained show that increasing the number of measurement sensors reduces the estimation error.

KW - partial discharges

KW - sensors

KW - position measurement

KW - high voltage systems

U2 - 10.23919/IConAC.2018.8749101

DO - 10.23919/IConAC.2018.8749101

M3 - Conference contribution book

BT - 2018 24th International Conference on Automation and Computing (ICAC)

PB - IEEE

CY - Piscataway, N.J.

T2 - 24th International Conference on Automation and Computing

Y2 - 6 September 2018 through 7 September 2018

ER -

Received signal strength intensity based localization of partial discharge in high voltage systems

Abstract

Conference

Keywords

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Projects

Scalable Radiometric Wireless Sensor Network for Partial Discharge Monitoring in the Future Smart Grid

Cite this