Identifying harmonic attributes from on-line partial discharge data

Victoria Catterson; Sanjay Bahadoorsingh; Susan Rudd; Stephen McArthur; Simon Rowland

doi:10.1109/PESGM.2012.6345761

Identifying harmonic attributes from on-line partial discharge data

Victoria Catterson, Sanjay Bahadoorsingh, Susan Rudd, Stephen McArthur, Simon Rowland

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

Partial discharge (PD) monitoring is a key method of tracking fault progression and degradation of insulation systems. Recent research discovered that the harmonic regime experienced by the plant also affects the partial discharge pattern, questioning the conclusions about equipment health drawn from PD data.

This paper presents the design and creation of an on-line system for harmonic circumstance monitoring of distribution cables, using only PD data. Based on machine learning techniques, the system can assess the prevalence of the 5th and 7th harmonic orders over the monitoring period. This information is key for asset managers to draw correct conclusions about the remaining life of polymeric cable insulation, and prevent overestimation of the degradation trend.

Original language	English
Number of pages	1
DOIs	https://doi.org/10.1109/PESGM.2012.6345761
Publication status	Published - Jul 2012
Event	IEEE PES General Meeting 2012 - , United Kingdom Duration: 24 Jul 2012 → …

Conference

Conference	IEEE PES General Meeting 2012
Country/Territory	United Kingdom
Period	24/07/12 → …

Keywords

partial discharge
partial discharge monitoring

Access to Document

10.1109/PESGM.2012.6345761

Cite this

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title = "Identifying harmonic attributes from on-line partial discharge data",

abstract = "Partial discharge (PD) monitoring is a key method of tracking fault progression and degradation of insulation systems. Recent research discovered that the harmonic regime experienced by the plant also affects the partial discharge pattern, questioning the conclusions about equipment health drawn from PD data.This paper presents the design and creation of an on-line system for harmonic circumstance monitoring of distribution cables, using only PD data. Based on machine learning techniques, the system can assess the prevalence of the 5th and 7th harmonic orders over the monitoring period. This information is key for asset managers to draw correct conclusions about the remaining life of polymeric cable insulation, and prevent overestimation of the degradation trend.",

keywords = "partial discharge, partial discharge monitoring",

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AU - Catterson, Victoria

AU - Bahadoorsingh, Sanjay

AU - Rudd, Susan

AU - McArthur, Stephen

AU - Rowland, Simon

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N2 - Partial discharge (PD) monitoring is a key method of tracking fault progression and degradation of insulation systems. Recent research discovered that the harmonic regime experienced by the plant also affects the partial discharge pattern, questioning the conclusions about equipment health drawn from PD data.This paper presents the design and creation of an on-line system for harmonic circumstance monitoring of distribution cables, using only PD data. Based on machine learning techniques, the system can assess the prevalence of the 5th and 7th harmonic orders over the monitoring period. This information is key for asset managers to draw correct conclusions about the remaining life of polymeric cable insulation, and prevent overestimation of the degradation trend.

AB - Partial discharge (PD) monitoring is a key method of tracking fault progression and degradation of insulation systems. Recent research discovered that the harmonic regime experienced by the plant also affects the partial discharge pattern, questioning the conclusions about equipment health drawn from PD data.This paper presents the design and creation of an on-line system for harmonic circumstance monitoring of distribution cables, using only PD data. Based on machine learning techniques, the system can assess the prevalence of the 5th and 7th harmonic orders over the monitoring period. This information is key for asset managers to draw correct conclusions about the remaining life of polymeric cable insulation, and prevent overestimation of the degradation trend.

KW - partial discharge

KW - partial discharge monitoring

UR - http://www.pes-gm.org/2012/

U2 - 10.1109/PESGM.2012.6345761

DO - 10.1109/PESGM.2012.6345761

M3 - Paper

T2 - IEEE PES General Meeting 2012

Y2 - 24 July 2012

ER -

Identifying harmonic attributes from on-line partial discharge data

Abstract

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Keywords

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