Research on arrester condition-based maintenance optimization based on non power-off detection

ZENG Yun; QI Mingjun; LI Ting; HUANG Haibo

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Research on arrester condition-based maintenance optimization based on non power-off detection

更新时间：2025-11-18

- Research on arrester condition-based maintenance optimization based on non power-off detection
- Vol. 36, Issue 3, Pages: 19-22(2016)
- 作者机构：
  
  1. 长沙理工大学
  2. 国网湖南省电力公司
  3. 国网湖南省电力公司电力科学研究院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM862
- Published：2016
- 稿件说明：
移动端阅览
[1]曾赟,漆铭钧,李婷,黄海波.基于不停电检测的避雷器状态检修优化研究[J].湖南电力,2016,36(03):19-22.

ZENG Yun, QI Mingjun, LI Ting, et al. Research on arrester condition-based maintenance optimization based on non power-off detection[J]. 2016, 36(3): 19-22.
[1]曾赟,漆铭钧,李婷,黄海波.基于不停电检测的避雷器状态检修优化研究[J].湖南电力,2016,36(03):19-22. DOI：

ZENG Yun, QI Mingjun, LI Ting, et al. Research on arrester condition-based maintenance optimization based on non power-off detection[J]. 2016, 36(3): 19-22. DOI：

摘要

本文选取多家省（市）电力公司2005年至2014年的避雷器危急、严重缺陷及故障并建立了样本数据库

对数据进行统计分析

开展了检测方式的检出效率及设备关键状态量的研究

并进行了关键状态量盲检率的优化评估

分析了取消停电例行试验的可行性。

Abstract

This paper selects the critical defects

serious defects and failures operation data of the arrester in several provincial and municipal electric power companies from the year 2005 to 2014 and the sample database is also established. State variable and detection efficiency of the way of testing are studied through data analysis. Meanwhile

the blind-detection rate is calculated and the feasibility of canceling blackout routine test is analyzed.

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