电测与仪表2017，Vol.54Issue(17)：70-76,7.
基于自适应小波阈值去噪和HT-LMD的电能质量扰动检测方法
Power quality disturbance detection method based on adaptive wavelet threshold de-noising and HT-LMD
摘要
Abstract
Aiming at the transient power quality disturbance detection problem under noisy conditions , this paper pro-poses an improved HT-LMD ( Hilbert Huang and local mean decomposition ) decomposition detection method by using adaptive wavelet denoising techniques .After analyzing the advantages and disadvantages of local mean decomposition and the influence of noise , a new HT-LMD detection method using wavelet decomposition and reconstruction , adaptive threshold technology , and the orthogonality of criterion ( orthogonality criterion , OC) is presented .Adaptive wavelet denoising technique abates the noise impact on the LMD decomposition , and orthogonality criterion method reduces the number of decomposition iterations .The results from the typical transient power quality disturbance simulation sig-nals and the detection of measured signals show that the proposed method improves the LMD ability in detection of power quality disturbance and retains the singularity characteristics of the original transient disturbance signals , which help boost locating and detection precision .关键词
电能质量/扰动检测/局域均值分解/小波分解/自适应阈值Key words
power quality/disturbance detection/LMD/wavelet decomposition/adaptive threshold value分类
信息技术与安全科学引用本文复制引用
唐圣学,付滔,李志刚..基于自适应小波阈值去噪和HT-LMD的电能质量扰动检测方法[J].电测与仪表,2017,54(17):70-76,7.基金项目
国家自然科学基金资助项目(51477040) （51477040）
河北省自然科学基金资助项目(E2015202263) （E2015202263）
