Voltage sags detection based on Hilbert-Huang transform

被引：0
|
作者：
Teaching and Training Center of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang 150080, China [1 ]
不详 [2 ]
机构：
来源：
Int. J. Signal Process. Image Process. Pattern Recogn. | / 3卷 / 91-97期
关键词：
Power quality;
D O I：
10.14257/ijsip.2014.7.3.09
中图分类号：
学科分类号：
摘要：
Voltage sag is a prominent problem in power quality. It is key to identify voltage sag exactly for choosing scheme of managing power quality. Hilbert-Huang transform (HHT) is applied for the voltage sag recognize. Using the empirical mode decomposition (EMD) for voltage sag, the intrinsic mode function (IMF) can be obtained, then perform the Hilbert transform in each IMF, after that the instantaneous frequency spectrum can be obtained. And then determine start and end. Simulation results show the method has better effect on detecting voltage sag. © 2014 SERSC.
引用
收藏
相关论文
共 50 条
  • [1] Disturbance Source Identification of Voltage Sags Based On Hilbert-Huang Transform
    Yang, Liang
    Yu, Jianming
    Lai, Yongbin
    2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
  • [2] Speech detection based on Hilbert-Huang Transform
    Wang, Wu
    Li, Xueyao
    Zhang, Rubo
    FIRST INTERNATIONAL MULTI-SYMPOSIUMS ON COMPUTER AND COMPUTATIONAL SCIENCES (IMSCCS 2006), PROCEEDINGS, VOL 1, 2006, : 290 - +
  • [3] Hilbert-Huang Transform in Fault Detection
    German-Sallo, Zoltan
    Grif, Horatiu Stefan
    12TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING (INTER-ENG 2018), 2019, 32 : 591 - 595
  • [4] Method to measure voltage flicker based on Hilbert-Huang transform
    College of Optoelectronic Engineering, Shenzhen University, Shenzhen 518061, Guangdong Province, China
    Dianwang Jishu, 2012, 9 (250-256):
  • [5] Hilbert-Huang Transform and Wavelet Transform for ECG Detection
    Yang, Xiao-li
    Tang, Jing-tian
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 12314 - 12317
  • [6] Structural damage detection by Hilbert-Huang transform
    Li, Shu-Jin
    Yu, Hui
    Qu, Wei-Lian
    Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology, 2004, 26 (08):
  • [7] Structural damage detection based on improved Hilbert-Huang transform
    Ren, Yi-Chun
    Weng, Pu
    Zhendong yu Chongji/Journal of Vibration and Shock, 2015, 34 (18): : 195 - 199
  • [8] Research on Pipeline Leak Detection Based on Hilbert-Huang Transform
    Zhang Shuqing
    Gao Tianye
    Han Xu
    Jia Jian
    Wang Zhongdong
    2009 INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT TECHNOLOGY, VOL 3, PROCEEDINGS, 2009, : 500 - 503
  • [9] IRIS RECOGNITION BASED ON HILBERT-HUANG TRANSFORM
    Yang, Zhijing
    Yang, Zhihua
    Yang, Lihua
    ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS, 2009, 1 (04) : 623 - 641
  • [10] Hilbert-Huang Transform based speech enhancement
    Shen, LR
    Li, XY
    Wang, HQ
    Yin, QB
    Zhang, RB
    Proceedings of the 8th Joint Conference on Information Sciences, Vols 1-3, 2005, : 591 - 595
12345