摘要
将数学形态学的组合形态滤波、形态边缘检测应用于电网电压暂降持续定位。首先,利用数学形态学理论构造了一个自适应结构元素组合形态滤波器,以滤除白噪声、脉冲噪声等多种噪声;其次,根据理论选择适宜长度的结构元素对滤波后信号进行腐蚀与膨胀,取其差值得到形态学梯度,通过Top-Hat变换得到其形态边缘,利用阈值方法去除其背景噪声,得到最终定位结果;最后,分析对比了暂降幅度、谐波含量和白噪声方差不同时,该方法的有效性。仿真结果表明,该方法能在多种干扰下快速有效地定位电压暂降持续时间。
The morphological filter, morphology edge detection, which are based on mathematical morphology, are applied to the detection of voltage sag duration. Firstly, a generalized morphological filter with adaptive structure elements is designed to filter randon noise and impulse noise;Then, the appropriate length of structure element is selected for the filtered signal＇ s corrosion and expansion, thus the morphological gradient difference is ob- tained. Morphology edge is generated by Top-Hat transform, the final detection result is obtained by using threshold to remove the background noise;Finally, the validity of the method is analyzed and compared in different conditions of the drop amplitude, harmonic content and white noise variance. The simulation results show that this method can quickly and effectively detect voltage dip durationin in the case of multiple interference.
出处
《科学技术与工程》
北大核心
2014年第8期176-181,共6页
Science Technology and Engineering
关键词
数学形态学
电压暂降持续时间
形态滤波
形态边缘检测
mathematical morphology voltage sag duration morphological filter morphologyedge detection
