计及电磁模特高频信号的局部放电模式识别方法研究
DOI:
作者:
作者单位:

1.南方电网数字电网研究院;2.长沙理工大学物理与微电子学院;3.湖南大学电气与信息工程学院

作者简介:

通讯作者:

基金项目:

非基金


Pattern recognition of UHF signals in partial discharge considering electromagnetic model
Author:
Affiliation:

1.Southern Power Grid Company;2.Changsha University of Science &3.Technology;4.hunan university

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    特高频(UHF)法局部放电检测已经成为高压GIS及变压器等设备常用的运维检测手段,但由于该方法是通过测量电磁波间接检测局部放电强度,使得基于该方法的局部放电模式识别技术准确率不高,而且一直没有得到很好的解决。本文引入TEm1模截止频率作为PD UHF信号时频分布图的分割依据,对单一绝缘缺陷激发的PD UHF信号进行预处理、时频分布图分割、特征参数提取和选择、PSO-ELM识别等操作,最终准确地判断出PD信号类型,提高了GIS绝缘缺陷类型的识别准确率。这种分割方法增强了图谱特征的空间分布信息,对改善特高频法识别局部放电的准确率具有实际应用价值。

    Abstract:

    Detection of partial discharge by UHF signal has become a common operation and maintenance detection means for High Voltage GIS, transformers and other equipment. However, due to the indirect detection of PD intensity by measuring electromagnetic wave, the PD pattern recognition based on this method has no high accuracy and not been well developed. In this paper, the cutoff frequency of TEm1 mode is introduced as the division basis of time-frequency distribution of PD UHF signal. The PD UHF signal excited by a single insulation defect is used signal preprocessing, time-frequency distribution segmentation, feature parameter extraction and selection, PSO-ELM recognition and other operations. Finally, the PD signal type was determined, which improves the accuracy of GIS insulation defect. This segmentation method enhances the spatial distribution information of image features, and it is of great practical value to improve the accuracy of UHF method in PD identification.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:2021-03-07
  • 最后修改日期:2021-03-20
  • 录用日期:2021-04-14
  • 在线发布日期: