Identifying harmonic attributes from on-line partial discharge data

Tools

Catterson, Victoria and Bahadoorsingh, Sanjay and Rudd, Susan and McArthur, Stephen and Rowland, Simon (2012) Identifying harmonic attributes from on-line partial discharge data. In: IEEE PES General Meeting 2012, 2012-07-24. (https://doi.org/10.1109/PESGM.2012.6345761)

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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.

ORCID iDs

Catterson, Victoria ORCID logoORCID: https://orcid.org/0000-0003-3455-803X, Bahadoorsingh, Sanjay, Rudd, Susan, McArthur, Stephen ORCID logoORCID: https://orcid.org/0000-0003-1312-8874 and Rowland, Simon;
CORE (COnnecting REpositories)