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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

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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.

    Item type: Article
    ID code: 33135
    Keywords: discharges, harmonic analysis, insulation, monitoring, partial discharges, Electrical engineering. Electronics Nuclear engineering, Energy Engineering and Power Technology, Electrical and Electronic Engineering
    Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
    Department: Faculty of Engineering > Electronic and Electrical Engineering
    Related URLs:
      Depositing user: Pure Administrator
      Date Deposited: 06 Sep 2011 15:09
      Last modified: 03 May 2014 01:23
      URI: http://strathprints.strath.ac.uk/id/eprint/33135

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