采用多元统计方法识别油纸的不同老化阶段

Conference Record of the 2004 IEEE International Symposium on Electrical Insulation Pub Date : 2004-09-19 DOI:10.1109/ELINSL.2004.1380460

R. Liao, Lijun Yang, Jian Li, Bing Xie

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引用次数: 9

摘要

本文引入多元统计方法对绝缘性能进行诊断和老化阶段识别。根据寿命试验得到的寿命模型，选择合理的实验条件对几个油纸样品进行240小时左右的时效处理。局部放电信号的确定在整个老化周期内以恒定的间隔进行。共提取了31个参数，其中有11个参数与老化阶段密切相关，作为后续分析的老化特征参数。为了确定合适的老化条件，采用聚类方法对从5个不同老化阶段的6个样本中提取的30个载体进行分析。结果表明，不同试样在同一时效阶段具有相似的性能。这30个向量用于得到判别函数。将11维特征向量映射为二维特征向量，并利用判别函数对其他30个特征向量进行分析。结果表明，利用判别函数可以得到合理的结果。

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Using multivariate statistical method to recognize different aging stages of oil-paper

The multivariate statistical method is introduced in this paper to diagnose insulation performance and identify its aging stages. Based on the lifetime model obtained by lifetime tests, a reasonable experimental condition is chosen to age several oil-paper samples for about 240 hours. Determination of partial discharge signal is carried out in the constant interval throughout the whole aging period. There are a total of 31 parameters extracted and 11 were found to be closely correlated to the aging stages and are used as aging characteristic parameters in the following analysis. In order to identify the proper aging conditions, the cluster method is used to analyze 30 vectors extracted from 6 samples at 5 different aging stages. It is shown that different samples have the similar performance at the same aging stage. The 30 vectors are used to obtain discriminant functions. The characteristic vector with eleven-dimensions is mapped to two-dimensions and the other 30 vectors are analyzed using discriminant functions. It is concluded that a reasonable result can be achieved using the discriminant functions.

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Conference Record of the 2004 IEEE International Symposium on Electrical Insulation

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