Analysis of partial discharge features as prognostic indicators of electrical treeing

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Aziz, N.H. and Catterson, V. M. and Rowland, S. M. and Bahadoorsingh, S. (2017) Analysis of partial discharge features as prognostic indicators of electrical treeing. IEEE Transactions on Dielectrics and Electrical Insulation, 24 (1). pp. 129-136. ISSN 1070-9878 (https://doi.org/10.1109/TDEI.2016.005957)

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Abstract

The aim of this paper is to identify promising indicators for prognosis of electrical treeing. Both phase-resolved partial discharge analysis (PRPDA) and pulse sequence analysis (PSA) are utilized. The prognostic properties of the features are evaluated in terms of monotonicity, prognosability, and trendability. The investigation reveals that PSA has a higher prognostic suitability index than PRPDA. An exponential fit is applied to the feature with the highest suitability index, in order to demonstrate its use for prognostic modeling and prediction of time until breakdown.

ORCID iDs

Aziz, N.H. ORCID logoORCID: https://orcid.org/0000-0002-0578-0806, Catterson, V. M. ORCID logoORCID: https://orcid.org/0000-0003-3455-803X, Rowland, S. M. and Bahadoorsingh, S.;
  • Item type:Article
    ID code:57619
    Dates:
    Date
    Event
    28 February 2017
    Published
    1 September 2016
    Accepted
    Notes:(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:01 Sep 2016 08:25
    Last modified:12 Dec 2024 04:44
    URI:https://strathprints.strath.ac.uk/id/eprint/57619
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