首页> 外文会议>Signal Processing and Communications Applications Conference >Amplitude and frequency estimation of power system signals using independent component analysis
【24h】

Amplitude and frequency estimation of power system signals using independent component analysis

机译:基于独立分量分析的电力系统信号幅值和频率估计

获取原文

摘要

In this paper independent component analysis (ICA) method for amplitude and frequency estimation of distorted power system signals is proposed. In order to protect system and keep it in safe operation mode the amplitude and frequency estimation should be conducted accurately. Transient disturbances of the power system may reduce estimation performance due to the distortion strength. In this study white noise and pulse noise which are very common for power systems, are used to contaminate power system signal. Thus, the proposed method is employed to decompose noise from system signal and hence to improve the efficiency of the estimation. Computer simulations have been carried out for the performance analysis of the ICA method and the comparison of the results of the proposed method with the conventional filters are displayed by using mean square error (MSE) values.
机译:本文提出了电力系统畸变信号幅度和频率估计的独立分量分析(ICA)方法。为了保护系统并使其处于安全运行模式,应准确地进行振幅和频率估计。电力系统的暂态扰动可能会由于畸变强度而降低估计性能。在本研究中,电力系统中非常常见的白噪声和脉冲噪声被用来污染电力系统信号。因此,该方法被用来分解系统信号中的噪声,从而提高估计效率。对ICA方法的性能进行了计算机仿真,并通过均方误差(MSE)值显示了该方法与传统滤波器的结果比较。

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