Radiometric partial discharge location detection in medium voltage switchgears

With the goal of providing stable electric quality and safety, it is important for power utilities to maintain their substation equipment by predicting and diagnosing their failures. The common failure is dielectric break downs due to insulator wear and tear. The goal is to develop a non destructive...

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Main Authors: Kannappan, M., Chakrabarty, C.K., Hock, G.C.
Format: Conference Paper
Language:en_US
Published: 2017
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Institution: Universiti Tenaga Nasional
Language: en_US
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spelling my.uniten.dspace-56922017-12-13T02:47:32Z Radiometric partial discharge location detection in medium voltage switchgears Kannappan, M. Chakrabarty, C.K. Hock, G.C. With the goal of providing stable electric quality and safety, it is important for power utilities to maintain their substation equipment by predicting and diagnosing their failures. The common failure is dielectric break downs due to insulator wear and tear. The goal is to develop a non destructive, non contact testing method to predict the location of these failures for preventive maintenance work. Partial discharges (PD) are emitted in the case of insulator deterioration. This paper focuses on the development of methods/algorithm to accurately locate and detect these PD signals within the 3D space of a medium voltage (MV) switch gear. Along with this, the methods described in this paper also allow for the PD to be detected while the switch gear is still live, omitting the need to disrupt power while detecting the PD location. The core principles chosen to detect PD in these conditions are radiometric signal detection. Results are presented showing the location ability both in simulation and live field conditions. © 2013 IEEE. 2017-12-08T06:45:26Z 2017-12-08T06:45:26Z 2013 Conference Paper 10.1109/ICSIMA.2013.6717952 en_US 2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2013 2013, Article number 6717952
institution Universiti Tenaga Nasional
building UNITEN Library
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continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
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language en_US
description With the goal of providing stable electric quality and safety, it is important for power utilities to maintain their substation equipment by predicting and diagnosing their failures. The common failure is dielectric break downs due to insulator wear and tear. The goal is to develop a non destructive, non contact testing method to predict the location of these failures for preventive maintenance work. Partial discharges (PD) are emitted in the case of insulator deterioration. This paper focuses on the development of methods/algorithm to accurately locate and detect these PD signals within the 3D space of a medium voltage (MV) switch gear. Along with this, the methods described in this paper also allow for the PD to be detected while the switch gear is still live, omitting the need to disrupt power while detecting the PD location. The core principles chosen to detect PD in these conditions are radiometric signal detection. Results are presented showing the location ability both in simulation and live field conditions. © 2013 IEEE.
format Conference Paper
author Kannappan, M.
Chakrabarty, C.K.
Hock, G.C.
spellingShingle Kannappan, M.
Chakrabarty, C.K.
Hock, G.C.
Radiometric partial discharge location detection in medium voltage switchgears
author_facet Kannappan, M.
Chakrabarty, C.K.
Hock, G.C.
author_sort Kannappan, M.
title Radiometric partial discharge location detection in medium voltage switchgears
title_short Radiometric partial discharge location detection in medium voltage switchgears
title_full Radiometric partial discharge location detection in medium voltage switchgears
title_fullStr Radiometric partial discharge location detection in medium voltage switchgears
title_full_unstemmed Radiometric partial discharge location detection in medium voltage switchgears
title_sort radiometric partial discharge location detection in medium voltage switchgears
publishDate 2017
_version_ 1644493752255905792