The Applied Research of the Hilbert-Huang Transform and Wavelet Transform in the Fault Location of Transmission Line

Zhi Bin Li; Bao Xing Wu; Yun Hui Xu

doi:10.4028/www.scientific.net/AMM.291-294.2432

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 291-294The Applied Research of the Hilbert-Huang...

The Applied Research of the Hilbert-Huang Transform and Wavelet Transform in the Fault Location of Transmission Line

Abstract:

In the process of the Hilbert-Huang transform, empirical mode decomposition (EMD) may result in the end effect and modal aliasing when processing data, so proposing Ensemble Empirical Mode Decomposition (EEMD) instead of EMD, and assessing the accuracy of the two decomposition processes according to the total energy of the signal before and after the decomposition. Take a comparison between the Hilbert-Huang transform and the wavelet transform, the localization showed that the Hilbert-Huang transform is better than wavelet transform in the fault location of transmission line.

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Periodical:

Applied Mechanics and Materials (Volumes 291-294)

Pages:

2432-2436

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.291-294.2432

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Online since:

February 2013

Authors:

Zhi Bin Li, Bao Xing Wu, Yun Hui Xu

Keywords:

Fault Location, Hilbert-Huang Transform (HHT), Wavelet Transform (WT)

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References

[1] Jan Izykowski; Eugeniusz Rosolowski; Murari Mohan Saha, et al. A Fault-Location Method for Application With Current Differential Relays of Three-Terminal Lines [J]. IEEE Transactions on power delivery, 2007. 10, P 2099 - 2107.

DOI: 10.1109/tpwrd.2007.905544

Google Scholar

[2] Xue-feng Wang; Jun-yu Zhou. Research on Fault Location Based on Wavelet Technology in Transmission Lines [J], High Voltage engineering, 2006, P 84-87.

Google Scholar

[3] Tian-yun Li; Yan Zhao; Nan Li. Apply Empirical Mode Decomposition Based Hilbert Transform to Power System Transient Signal Analysis [J], Automation of Electric Power Systems, 2005, P 49-52.

Google Scholar

[4] Hong-chun Shu; Chun-he Chen; Wen-yuan Zhao. Accurate traveling-wave front detection based on morphology and HHT [J], Electric Power Automation Equipment, 2009, P 1-7.

Google Scholar

[5] Na Zhao. A Periodic Extension Approach for HHT Empirical Mode Decomposition [J], Computer Simulation, 2008, P 346-350.

Google Scholar

[6] Ke Chen; Ye LI; Lan Chen. Ensemble Empirical Mode Decomposition for Power Quality Detection Applications [J], Computer Simulation, 2010, P 263-266.

Google Scholar

[7] Da-qian Ren; Zhao-tong Wu; Gong-biao Yan. Evaluation of the EMD end effect and its window based method [J], Manufacturing Automation, 2007, P 21-24.

Google Scholar

[8] Jian Qin; Wei-chun Ge; Jin-hui Qiu. Analysis on Main Influencing Factors for Transmission Lines Fault Location Precision Based on Traveling Wave [J], Power System Technology, 2007, PP 28-35.

Google Scholar