Analysis of Partial Discharge Features as Prognostic Indicators of Electrical Treeing

被引：11

作者：

Aziz, N. H. ^{[1
,2
]}

Catterson, V. M. ^{[1
]}

Rowland, S. M. ^{[3
]}

Bahadoorsingh, S. ^{[4
]}

机构：

[1] Univ Strathclyde, Inst Energy & Environm, Glasgow G1 1XW, Lanark, Scotland

[2] Univ Teknikal Malaysia Melaka, Fac Elect Engn, Durian Tunggal 76100, Melaka, Malaysia

[3] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs, England

[4] Univ West Indies, Dept Elect & Comp Engn, St Augustine, Trinidad Tobago

来源：

IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION | 2017年 / 24卷 / 01期

关键词：

Electrical treeing; partial discharge; pulse sequence analysis; PRPD; prognostic; lifetime model; curve fitting; INSULATION; OPTIMIZATION; RECOGNITION; UHF;

D O I：

10.1109/TDEI.2016.005957

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：129 / 136

页数：8

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