Research for Fault Detection of Power Distribution Line Based on Hilbert-Huang Transform

Hai Ou Yan; Jin Qian Zhai; Jing Bin Lian; Kun Wang; Zhu Zhan

doi:10.4028/www.scientific.net/AMM.644-650.1218

Paper Titles

Automatic Test System for Frequency Response Characteristics of SAW Device
p.1201

Disturbance Detection Method of Power Quality Based on Mathematical Morphology and Lifting Wavelet
p.1205

The Application of Geophysical Methods in Groundwater Pollution Detection
p.1209

The Research on Magnetic Target Detection Technology Based on Wireless Sensor Network
p.1213

Research for Fault Detection of Power Distribution Line Based on Hilbert-Huang Transform
p.1218

Study on Piezoelectric Smart Structures Integrated Measurement and Control System Based on DSP
p.1223

Fault Diagnosis Based on Qualitative Data by Gray System Theory
p.1227

The Determination of Air Material Consumption Quota with Life
p.1230

Research on Calibration Method of Linear Structured Light Vision Measurement System
p.1234

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Research for Fault Detection of Power Distribution...

Research for Fault Detection of Power Distribution Line Based on Hilbert-Huang Transform

Abstract:

Fault signal contains a large number of non-fundamental frequency transient signals when distribution line fault occurs, fault detection for power distribution line could be carried out to extract non-fundamental transient characteristics of zero-sequence voltage by Hilbert-Huang transform. And as long as the fault has been detected by using the Hilbert-Huang transform, the selection of the fault line could be used to fault locating. The Hilbert-Huang transform has been used to fault detection of power distribution line, and the results were compared with wavelet analysis method, which indicates the effectiveness and sensitivity of the proposed method.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

1218-1222

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.1218

Citation:

Cite this paper

Online since:

September 2014

Authors:

Hai Ou Yan*, Jin Qian Zhai, Jing Bin Lian, Kun Wang, Zhu Zhan

Keywords:

Distribution Feeder, Fault Detection, Hilbert-Huang Transform, Transient Component, Zero Sequence Voltage

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Z.Y. He, Q.Q. Qian, The electric power system transient signal wavelet analysis method and its application, Proceedings of the EPSA, vol. 14, no. 4, pp.1-5, Aug, (2002).

Google Scholar

[2] X. Dong and J. Bi, Analysis on transient traveling wave and study on fault line selection for distribution lines, Proceedings of the CSEE, vol. 25, no. 4, pp.1-6, April (2005).

Google Scholar

[3] M.P. Ramos, C.A. Serra, Comparison of frequency estimation algorithms for power quality assessment, Measurement, vol. 42, no. 9, 2009, pp.1312-1317.

DOI: 10.1016/j.measurement.2008.04.013

Google Scholar

[4] N.E. Huang, Z. Shen, S.R. Long. A new view of nonlinear water waves: The Hilbert spectrum[J]. Annual Review of Fluid Mechanics, 1999, 31: 417-457.

DOI: 10.1146/annurev.fluid.31.1.417

Google Scholar

[5] N.E. Huang, Z. Shen, S.R. Long, M.L.C. Wu, H.H. Shih, Q.N. Zheng, N.C. Yen, C.C. Tung, H.H. Liu. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society of London Series a-Mathematical Physical and Engineering Sciences, 1998, 454(1971).

DOI: 10.1098/rspa.1998.0193

Google Scholar

[6] Z.K. Peng, P.W. Tse, and F.L. Chu, A comparison study of improved Hilbert-Huang transform and wavelet transform: application to fault diagnosis for rolling bearing, Mechanical systems and signal processing 19. 5(2005): 974-988.

DOI: 10.1016/j.ymssp.2004.01.006

Google Scholar