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文章摘要
基于多级广义自适应形态学滤波的电力信号消噪
A New Power Signal Denoising Method Based on Multilevel Generalized Self-Adaptive Morphological Filter
Received:November 05, 2013  Revised:November 05, 2013
DOI:
中文关键词: 形态学滤波  变步长  多级结构元素  电力信号消噪
英文关键词: morphology filter, variable step size, multilevel structure element, power signal denoising
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
Author NameAffiliationE-mail
Wang Xudong School of Information and Electrical Engineering, Harbin Institute of Technology at Weihai wxd359031@163.com 
Qu Yanbin* School of Information and Electrical Engineering, Harbin Institute of Technology at Weihai quyanbin@hit.edu.cn 
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中文摘要:
      针对传统数学形态学滤波器存在的统计偏移现象和对结构元素选取的局限,提出了一种多级结构元素的改进方法,并采用变步长的方法构建了一种多级广义自适应形态学滤波器,在提高滤波精度的同时,降低了对结构元素选取的限制,并且该滤波器的使用更加灵活。最后,将该滤波器应用到含有多种噪声叠加的电力信号消噪中,通过算例仿真,验证了本文提出的多级广义自适应形态学滤波器相比于传统的数学形态学滤波器,在电力信号消噪中具有更好地滤波效果。
英文摘要:
      Aiming at the existing statistical bias phenomenon and the limit of structure element selection of traditional mathematical morphological filter, this paper proposes a multilevel structure element, and the variable step length method is used to construct a kind of multilevel generalized self-adaptive morphological filter, improving the filtering accuracy while reducing the restrictions on structure element selection, and the use of the filter is more flexible. At last, the filter is used for the power signal denoising containing a variety of noise, and the simulation result shows the better filtering effect of multilevel generalized self-adaptive morphological filter compared with the traditional filter.
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