华东交通大学学报Issue(1)：86-92,7.
基于LMS形态滤波和Hilbert变换的电能质量扰动定位
Power Quality Transient Disturbance Detection Based on LMS Morphological Filter and Hilbert Transform
宋平岗 1文发1
作者信息
- 1. 华东交通大学电气与电子工程学院，江西 南昌 330013
- 折叠
摘要
Abstract
For the common kinds of transient disturbance in power quality, in order to realize the detection and lo⁃cation correctly, this paper presents a method combining adaptive generalized morphological filter based on LMS (least mean square)and Hilbert transform. Firstly, the disturbance signals are mixed with all kinds of noise and the generalized morphological filter based on LMS is used to filter the noise. Then, it makes the signals with Hilbert transform and extracts amplitude envelope of the disturbance signals which can realize preliminary positioning of the disturbance. Finally, it makes amplitude envelope with the backward difference which forms the positioning pulse and realizes positioning the begin-end time accurately. The simulation experiments under different condi⁃tions have proved the effectiveness of the proposed method.关键词
电能质量/暂态扰动/LMS/Hilbert变换/后向差分Key words
power quality/transient disturbances/LMS/Hilbert transform/backward difference分类
信息技术与安全科学引用本文复制引用
宋平岗,文发..基于LMS形态滤波和Hilbert变换的电能质量扰动定位[J].华东交通大学学报,2015,(1):86-92,7.
