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GIS设备局部放电类型表观相似性及模式识别准确性的探讨

唐志国 唐铭泽 李金忠 王健一 汪可 吴超

高电压技术2018,Vol.44Issue(8):2479-2485,7.
高电压技术2018,Vol.44Issue(8):2479-2485,7.DOI:10.13336/j.1003-6520.hve.20180228001

GIS设备局部放电类型表观相似性及模式识别准确性的探讨

Discussion on the Resemblance of Different Partial Discharges and Accuracy of PD Pattern Recognition of GIS Equipment

唐志国 1唐铭泽 2李金忠 1王健一 2汪可 1吴超2

作者信息

  • 1. 华北电力大学新能源电力系统国家重点实验室,北京 102206
  • 2. 华北电力大学高电压与电磁兼容北京市重点实验室,北京 102206
  • 折叠

摘要

Abstract

In order to reduce the occurrence of partial discharge recognition misjudgment and improve the accuracy of pattern recognition of GIS equipment, we discussed the resemblance of different partial discharges. Adopted two common classifiers to diagnose typical faults by the hierarchical identification method, generalized the types of partial discharge of GIS existing in the misjudgment phenomenon, and analyzed the resemblanc of the types of partial discharge. Moreover, we summarized the causes of misjudgment, for example, the instability of free metal particles is the causes of misjudgment, and the position of the sensor distance from the discharge source determines whether the misjudgment of the floating discharge can occur. At the same time, we studied the rationality of the traditional partial discharge type division of GIS. Finally, the accuracy of pattern recognition of the two classifiers was compared by the recognition rate and decision reliability. The research shows that the recognition confidence of protrusion discharge is highest, the identification rate of air bubbles in insulator discharge is highest, and the recognition effect of SVM is better than BP neural network. The research results lay a foundation for the high efficiency of the follow-up work, such as, partial discharge pattern recognition, risk assessment of partial discharge, etc.

关键词

局部放电/误判/表观相似性/分层式识别/模式识别

Key words

partial discharge/misjudgment/resemblance/hierarchical identification method/pattern recognition

引用本文复制引用

唐志国,唐铭泽,李金忠,王健一,汪可,吴超..GIS设备局部放电类型表观相似性及模式识别准确性的探讨[J].高电压技术,2018,44(8):2479-2485,7.

基金项目

国网公司科技项目(编号略).Project support by Science and Technology Project of SGCC. (编号略)

高电压技术

OA北大核心CSCDCSTPCD

1003-6520

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