Analysis of partial discharge features as prognostic indicators of electrical treeing

N.H. Aziz, V. M. Catterson, S. M. Rowland, S. Bahadoorsingh

Research output: Contribution to journalArticle

6 Citations (Scopus)
224 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)129-136
Number of pages9
JournalIEEE Transactions on Dielectrics and Electrical Insulation
Volume24
Issue number1
DOIs
Publication statusPublished - 28 Feb 2017

Fingerprint

Partial discharges

Keywords

  • electrical treeing
  • partial discharge
  • pulse sequence analysis
  • phase-resolved partial discharge analysis
  • prognostic
  • lifetime model
  • curve fitting

Cite this

Aziz, N.H. ; Catterson, V. M. ; Rowland, S. M. ; Bahadoorsingh, S. / Analysis of partial discharge features as prognostic indicators of electrical treeing. In: IEEE Transactions on Dielectrics and Electrical Insulation. 2017 ; Vol. 24, No. 1. pp. 129-136.
@article{d5ea633c03ef47e69f8380548fdf3d98,
title = "Analysis of partial discharge features as prognostic indicators of electrical treeing",
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.",
keywords = "electrical treeing, partial discharge, pulse sequence analysis, phase-resolved partial discharge analysis, prognostic, lifetime model, curve fitting",
author = "N.H. Aziz and Catterson, {V. M.} and Rowland, {S. M.} and S. Bahadoorsingh",
note = "(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",
year = "2017",
month = "2",
day = "28",
doi = "10.1109/TDEI.2016.005957",
language = "English",
volume = "24",
pages = "129--136",
journal = "IEEE Transactions on Dielectrics and Electrical Insulation",
issn = "1070-9878",
number = "1",

}

Analysis of partial discharge features as prognostic indicators of electrical treeing. / Aziz, N.H.; Catterson, V. M.; Rowland, S. M.; Bahadoorsingh, S.

In: IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 24, No. 1, 28.02.2017, p. 129-136.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Analysis of partial discharge features as prognostic indicators of electrical treeing

AU - Aziz, N.H.

AU - Catterson, V. M.

AU - Rowland, S. M.

AU - Bahadoorsingh, S.

N1 - (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

PY - 2017/2/28

Y1 - 2017/2/28

N2 - 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.

AB - 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.

KW - electrical treeing

KW - partial discharge

KW - pulse sequence analysis

KW - phase-resolved partial discharge analysis

KW - prognostic

KW - lifetime model

KW - curve fitting

U2 - 10.1109/TDEI.2016.005957

DO - 10.1109/TDEI.2016.005957

M3 - Article

VL - 24

SP - 129

EP - 136

JO - IEEE Transactions on Dielectrics and Electrical Insulation

JF - IEEE Transactions on Dielectrics and Electrical Insulation

SN - 1070-9878

IS - 1

ER -