Identifying harmonic attributes from online partial discharge data
Catterson, Victoria and Bahadoorsingh, S. and Rudd, Susan and Mcarthur, Stephen and Rowland, S.M. (2011) Identifying harmonic attributes from online partial discharge data. IEEE Transactions on Power Delivery, 26 (3). pp. 1811-1819. ISSN 0885-8977 (https://doi.org/10.1109/TPWRD.2011.2114373)
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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 PD pattern, questioning the conclusions about equipment health drawn from PD data. This paper presents the design and creation of an online 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: https://orcid.org/0000-0003-3455-803X, Bahadoorsingh, S., Rudd, Susan, Mcarthur, Stephen ORCID: https://orcid.org/0000-0003-1312-8874 and Rowland, S.M.;-
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Item type: Article ID code: 33135 Dates: DateEventJuly 2011PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 06 Sep 2011 14:09 Last modified: 11 Nov 2024 09:49 URI: https://strathprints.strath.ac.uk/id/eprint/33135