Statistic Distribution of the Chromatographic Data of Running Transformer Oil

ZHAO Chongzhi; BAI Huaying; CHENG Yangchun; LI Dan; HUANG Qingdan

doi:10.13296/j.1001-1609.hva.2018.12.027

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Statistic Distribution of the Chromatographic Data of Running Transformer Oil

更新时间：2025-04-26

- Statistic Distribution of the Chromatographic Data of Running Transformer Oil
- High VoltageApparatus Vol. 54, Issue 12, Pages: 180-187(2018)
- 作者机构：
  
  1. 广州供电局有限公司电力试验研究院
  2. 国网河南省电力公司检修公司
  3. 华北电力大学
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2018.12.027
  CLC： TM407
- Published：2018
- 稿件说明：
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[1]赵崇智,白华颖,程养春,李聃,黄青丹.现场变压器油色谱数据的统计分布规律[J].高压电器,2018,54(12):180-187.

ZHAO Chongzhi, BAI Huaying, CHENG Yangchun, et al. Statistic Distribution of the Chromatographic Data of Running Transformer Oil[J]. High voltageapparatus, 2018, 54(12): 180-187.
[1]赵崇智,白华颖,程养春,李聃,黄青丹.现场变压器油色谱数据的统计分布规律[J].高压电器,2018,54(12):180-187. DOI： 10.13296/j.1001-1609.hva.2018.12.027.

ZHAO Chongzhi, BAI Huaying, CHENG Yangchun, et al. Statistic Distribution of the Chromatographic Data of Running Transformer Oil[J]. High voltageapparatus, 2018, 54(12): 180-187. DOI： 10.13296/j.1001-1609.hva.2018.12.027.

摘要

整理了广东地区和华北地区的现场电力变压器实测色谱数据

根据数据特点选择相应的抽样方法

获得了各气体参量的数据样本。运用统计学中的非参数统计的方法对样本数据进行非参数检验

检验结果是各气体参量基本服从对数正态分布或者韦伯分布

同时获得了各气体参量所服从的各分布的分布函数以及相应的90%及95%分位点注意值。其中95%分位点注意值比国标和IEC中给出的气体参量注意值小

从而减少了对变压器故障的漏判。

Abstract

In this paper

the measured chromatographic data of field power transformers in Guangdong and North China are arranged

and according to the characteristics of these data to select the corresponding data sampling method respectively to get the sample data in the two areas.To do test for the sample data by using the nonparametric statistical method

the test result is that the gas parameters are follow lognormal distribution or Weibull distribution.Then the functions of each gas parameter and the corresponding 90%and 95%quantile attention value are obtained.The 95%quantile attention value is less than the attention value of Chinese Standard and IEC

thus to reduce the careless omission judgment of transformer fault.

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