A method to locate power quality disturbing signal based on empirical mode decomposition

被引:0
|
作者
Huang, Huan [1 ]
Wu, Jie-Kang [1 ]
机构
[1] School of Electrical Engineering, Guangxi University, Nanning 530004, Guangxi Zhuang Autonomous Region, China
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
18
引用
收藏
页码:41 / 45
相关论文
共 50 条
  • [41] Signal Enhancement of GPR Data Based on Empirical Mode Decomposition
    Lu, Qi
    Liu, Cai
    Feng, Xuan
    PROCEEDINGS OF THE 2014 15TH INTERNATIONAL CONFERENCE ON GROUND PENETRATING RADAR (GPR 2014), 2014, : 683 - 686
  • [42] Analysis of surface EMG signal based on empirical mode decomposition
    Min Lei
    Guang Meng
    Cheng Jiashui
    2009 IEEE 11TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS, VOLS 1 AND 2, 2009, : 266 - 269
  • [43] A correlated empirical mode decomposition method for partial discharge signal denoising
    Tang, Ya-Wen
    Tai, Cheng-Chi
    Su, Ching-Chau
    Chen, Chien-Yi
    Chen, Jiann-Fuh
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2010, 21 (08)
  • [44] Power allocation method of hybrid energy storage system based on empirical mode decomposition
    Han, Xiaojuan
    Tian, Chunguang
    Cheng, Cheng
    Zhang, Hao
    Ma, Huimeng
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2014, 35 (10): : 1889 - 1896
  • [45] Signal processing method based on empirical mode decomposition in the SO2 concentration monitoring
    Wang, Shu-Tao
    Li, Mei-Mei
    Li, Pan
    Liu, Ming-Hua
    Wang, Li-Yuan
    Zeng, Qiu-Ju
    Guangzi Xuebao/Acta Photonica Sinica, 2014, 43 (02):
  • [46] A real signal model-based method for processing boundary effect in Empirical Mode Decomposition
    Li, Song
    Li, Haifeng
    Ma, Lin
    2013 THIRD INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC), 2013, : 1409 - 1412
  • [47] A New Method of Identifying Characteristic Points in the Impedance Cardiography Signal Based on Empirical Mode Decomposition
    Trybek, Paulina
    Sobotnicka, Ewelina
    Wawrzkiewicz-Jalowiecka, Agata
    Machura, Lukasz
    Feige, Daniel
    Sobotnicki, Aleksander
    Richter-Laskowska, Monika
    SENSORS, 2023, 23 (02)
  • [48] De-Noising Method for Gyroscope Signal Based on Improved Ensemble Empirical Mode Decomposition
    Wu Qian
    Liu Yu
    LASER & OPTOELECTRONICS PROGRESS, 2020, 57 (15)
  • [49] Adaptive de-noising method based on ensemble empirical mode decomposition for vibration signal
    Chen, Ren-Xiang
    Tang, Bao-Ping
    Ma, Jing-Hua
    Zhendong yu Chongji/Journal of Vibration and Shock, 2012, 31 (15): : 82 - 86
  • [50] An EEG signal denoising method based on ensemble empirical mode decomposition and independent component analysis
    Sun, Huimin
    Cheng, Jun
    Ma, Zheng
    2018 IEEE INTERNATIONAL CONFERENCE ON CYBORG AND BIONIC SYSTEMS (CBS), 2018, : 401 - 405