Analysis of partial discharge features as prognostic indicators of electrical treeing
Analysis of partial discharge features as prognostic indicators of electrical treeing
复制标题
局部放电特征作为电树预后指标的分析
DOI：
10.1109/tdei.2016.005957
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发表时间：
2017
影响因子：
3.1
通讯作者：
S. Bahadoorsingh
中科院分区：
文献类型：
--
作者：
N. H. Aziz;V. Catterson;S. Rowland;S. Bahadoorsingh
本文的目的是寻找有前景的电树预后指标。采用了相分辨局部放电分析（PRPDA）和脉冲序列分析（PSA）两种方法。这些特征的预测特性是根据单调性、可预测性和趋势性来评估的。PSA的预后适宜性指数高于PRPDA。指数拟合应用于具有最高适宜性指数的特征，以证明其用于预测建模和预测直到崩溃的时间。
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.
DOI：
10.1109/t-dei.2008.4446759
发表时间：
2008-02-01
影响因子：
3.1
作者：
Strachan, S. M.;Rudd, S.;Gulski, E.
通讯作者：
Gulski, E.