首页> 外文会议>2014 International Conference on High Voltage Engineering and Application >Characteristic information extraction and developing process recognizing method of surface discharge in oil immersed paper insulation
【24h】

Characteristic information extraction and developing process recognizing method of surface discharge in oil immersed paper insulation

机译:油浸纸绝缘体表面放电特征信息提取与开发过程识别方法

获取原文
获取原文并翻译 | 示例

摘要

Based on the platform for testing development characteristics of partial discharge in laboratory, typical surface discharge model was built up at first. Constant voltage testing on the model was performed to research the development process of surface discharge. The variation of total partial discharge energy per unit of time (W) was analyzed and the results show that the surface discharge development process is divided into 5 stages. Three-dimensional spectra and grayscale images in different discharge stages were also built in order to make the process more comprehensive and visual. As traditional moment parameter has its shortages, the wavelet theory was introduced to extract the moment characteristics of partial discharge grayscale images. According to the wavelet moment features extracted at different discharge times, under the condition of no prior knowledge, the Euclidean distance clustering method was used to divide the whole surface discharge process.
机译:基于实验室局部放电发展特征测试平台,首先建立了典型的表面放电模型。对模型进行恒压测试以研究表面放电的发展过程。分析了每单位时间(W)的总局部放电能量的变化,结果表明表面放电的发展过程分为五个阶段。还建立了不同放电阶段的三维光谱和灰度图像,以使该过程更加全面和直观。由于传统矩参数的不足,引入小波理论提取局部放电灰度图像的矩特征。根据在不同放电时间提取的小波矩特征,在没有先验知识的条件下,采用欧氏距离聚类法对整个表面放电过程进行了划分。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号