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Voltage Sags Detection Based on Hilbert-Huang Transform

원문정보

Tao Zhang, Rui Zhang, Tian-bo Wang, Run-xia Zhu

보안공학연구지원센터(IJSIP) International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.7 No.3 2014.06 pp.91-98
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초록

영어

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.

목차

Abstract
 1. Introduction
 2. Basic Principle of Hilbert-Huang Transform
  2.1. Hilbert Transform
  2.2. Intrinsic Mode Function
  2.3. Classical Modal Method
 3. Simulation Experiment
 4. Conclusions
 References

키워드

저자정보

  • Tao Zhang Teaching and Training Center of Electrical and Electronics Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang，China 150080
  • Rui Zhang School of Automation, Harbin University of Science and Technology, Harbin, Heilongjiang, China 150080
  • Tian-bo Wang School of Automation, Harbin University of Science and Technology, Harbin, Heilongjiang, China 150080
  • Run-xia Zhu School of Automation, Harbin University of Science and Technology, Harbin, Heilongjiang, China 150080

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