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基于经验模态分解的电能质量信号消噪新方法
A New Method of the Power Quality Signal De-noising Based on Empirical Mode Decomposition
【摘要】 基于EMD理论,采用一种电能质量信号消噪的新方法,即首先对电能质量信号进行EMD分解,得到一系列的IMF分量和一个剩余分量,根据噪声和信号在不同尺度的IMF分量上的表现特性,分别将其进行阈值处理,再将消噪后的IMF分量重构,从而得到消噪后的电能质量信号.仿真结果表明,该方法的消噪效果较好.
【Abstract】 Based on the Empirical Mode Decomposition(EMD),this paper employs a new method to remove noise of power quality signals.Firstly,analysis the power quality disturbance signals by EMD,a series of intrinsic mode functions(IMFs) and a residue are gained.Then the IMFs are threshold;finally the de-noised signals are acquired by reconstructing the threshold IMFs.The simulation indicates that this new method has the excellent ability of de-noising;it could obtain wonderful result in dealing with power quality signal de-noising.
【关键词】 电能质量;
信号消噪;
经验模态分解;
固有模态函数;
阈值处理;
【Key words】 power quality; signal de-noising; empirical mode decomposition; intrinsic mode function; threshold disposal;
【Key words】 power quality; signal de-noising; empirical mode decomposition; intrinsic mode function; threshold disposal;
- 【文献出处】 长沙电力学院学报(自然科学版) ,Journal of Changsha University of Electric Power(Natural Science) , 编辑部邮箱 ,2006年04期
- 【分类号】TM711
- 【被引频次】14
- 【下载频次】205