首页> 外文会议>Electrical Insulation, 1998. Conference Record of the 1998 IEEE International Symposium on >A measuring system based on modern signal processing methods for partial discharge recognition and localization on-site
【24h】

A measuring system based on modern signal processing methods for partial discharge recognition and localization on-site

机译:基于现代信号处理方法的局部放电识别和现场测量系统

获取原文

摘要

The paper describes a modular structured measuring system for partial Discharge (PD) recognition and localization on-site. The appearing noises are suppressed digitally with different filter algorithms each being best adapted to the respective noise signals. The suppression of sinusoidal continuous noises is realized by means of digital filters, whereas synchronous pulse shaped noises are eliminated by using adaptive correlation algorithms. A separation of the PD from noise pulses with stochastical appearance is performed with pattern recognition algorithms. Investigations of pulses measured on transformers show, that the simultaneous employment of several algorithms leads to an increase in the reliability of the evaluation. Also, a monitoring operation without any a priori knowledge about appearing signal shapes becomes possible. Besides the noise suppression, the same pattern recognition algorithms with changed parameters make a contribution to the localization of PD faults.
机译:本文描述了用于局部放电(PD)识别和本地化的模块化结构测量系统。随着不同的滤波器算法抑制出现的噪声,每个滤波器算法最好地适应各个噪声信号。通过数字滤波器实现抑制正弦连续噪声,而通过使用自适应相关算法消除了同步脉冲形噪声。用图案识别算法执行PD与随机外观的噪声脉冲的分离。在变压器上测量的脉冲的调查显示,多种算法的同时就业导致评估的可靠性增加。而且,没有关于出现信号形状的任何先验知识的监视操作都是可能的。除了噪声抑制之外,具有改变参数的相同模式识别算法对PD故障的定位作出了贡献。

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