Identifying harmonic attributes from on-line partial discharge data

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

Research output: Contribution to conferencePaper

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.
LanguageEnglish
Number of pages1
DOIs
Publication statusPublished - Jul 2012
EventIEEE PES General Meeting 2012 - , United Kingdom
Duration: 24 Jul 2012 → …

Conference

ConferenceIEEE PES General Meeting 2012
CountryUnited Kingdom
Period24/07/12 → …

Fingerprint

Partial discharges
Insulation
Monitoring
Cables
Degradation
Online systems
Learning systems
Managers
Health

Keywords

  • partial discharge
  • partial discharge monitoring

Cite this

Catterson, V., Bahadoorsingh, S., Rudd, S., McArthur, S., & Rowland, S. (2012). Identifying harmonic attributes from on-line partial discharge data. Paper presented at IEEE PES General Meeting 2012, United Kingdom. https://doi.org/10.1109/PESGM.2012.6345761
Catterson, Victoria ; Bahadoorsingh, Sanjay ; Rudd, Susan ; McArthur, Stephen ; Rowland, Simon. / Identifying harmonic attributes from on-line partial discharge data. Paper presented at IEEE PES General Meeting 2012, United Kingdom.1 p.
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Catterson, V, Bahadoorsingh, S, Rudd, S, McArthur, S & Rowland, S 2012, 'Identifying harmonic attributes from on-line partial discharge data' Paper presented at IEEE PES General Meeting 2012, United Kingdom, 24/07/12, . https://doi.org/10.1109/PESGM.2012.6345761

Identifying harmonic attributes from on-line partial discharge data. / Catterson, Victoria; Bahadoorsingh, Sanjay; Rudd, Susan; McArthur, Stephen; Rowland, Simon.

2012. Paper presented at IEEE PES General Meeting 2012, United Kingdom.

Research output: Contribution to conferencePaper

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Catterson V, Bahadoorsingh S, Rudd S, McArthur S, Rowland S. Identifying harmonic attributes from on-line partial discharge data. 2012. Paper presented at IEEE PES General Meeting 2012, United Kingdom. https://doi.org/10.1109/PESGM.2012.6345761