Joint Early-warning Strategies of Transformer Oil Chromatogram Based on Mathematical Statistic

ZHANG Bin; LI Mu; LYU Qishen; WEN Zhengqi; HUANG Weizhao

doi:10.13296/j.1001-1609.hva.2016.05.032

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Joint Early-warning Strategies of Transformer Oil Chromatogram Based on Mathematical Statistic

更新时间：2025-04-26

- Joint Early-warning Strategies of Transformer Oil Chromatogram Based on Mathematical Statistic
- High VoltageApparatus Vol. 52, Issue 5, Pages: 186-191(2016)
- 作者机构：
  
  1. 深圳供电局有限公司
  2. 国网电力科学研究院武汉南瑞有限责任公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2016.05.032
  CLC： TM407
- Published：2016
- 稿件说明：
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[1]章彬,李穆,吕启深,文正其,黃炜昭.基于数理统计的变压器油色谱联合预警策略[J].高压电器,2016,52(05):186-191.

ZHANG Bin, LI Mu, LYU Qishen, et al. Joint Early-warning Strategies of Transformer Oil Chromatogram Based on Mathematical Statistic[J]. High voltageapparatus, 2016, 52(5): 186-191.
[1]章彬,李穆,吕启深,文正其,黃炜昭.基于数理统计的变压器油色谱联合预警策略[J].高压电器,2016,52(05):186-191. DOI： 10.13296/j.1001-1609.hva.2016.05.032.

ZHANG Bin, LI Mu, LYU Qishen, et al. Joint Early-warning Strategies of Transformer Oil Chromatogram Based on Mathematical Statistic[J]. High voltageapparatus, 2016, 52(5): 186-191. DOI： 10.13296/j.1001-1609.hva.2016.05.032.

摘要

文中针对目前采用国标中变压器油色谱阈值进行预警时裕度不高的问题

提出了一种采用数理统计方法确定的油色谱联合预警策略。首先

基于广义横向比较法原理

利用数理统计中的分布假设

确定了各种油色谱气体的两级预警阈值。接着

对各种特征气体进行相关性分析

得出各种气体之间的相关系数

以此确定辅助决策气体组。最后

提出了一种联合预警的策略

并通过一个实例说明了采用文中所述方法能够较早地发现变压器的潜在问题

以便及时进行维护

具有一定的推广价值。

Abstract

In order to solve the problem that the margin is not enough when using the thresholds specified in the national standard in transformer oil chromatography warning

this paper puts forward a kind of using the mathematical statistics method to determine the joint early-warning strategies of transformer oil chromatogram. First of all

based on the generalized horizontal comparison principle

this paper uses the distributional assumption of mathematical statistics to determine the two warning thresholds of the characteristics gases of transformer oil chromatogram. Then

in order to determine the decision aided gas group

this paper calculates the correlation coefficient between the various gases by using the correlation analysis. Finally a joint early warning strategy is put forward. Through an example of using the method in this paper

the early potential problems of the transformer can be found

so that the timely maintenance could be made and it has a certain spread value.

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