Arc Fault Recognition Method Based on Phase Space Reconstruction and Fractal Theory

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Abstract:

A method of recognize arc fault based on phase space reconstruction and fractal theory is presented in this paper.In order to obtain the current wave under the conditions of different arc faults, the experiment platform is built according to UL1699 standard so as to sample the current wave of arc fault by the digital oscilloscope. Meanwhile the current wave of some electrical equipment with the normal operation are also sampled. The phase space track chart are obtained by the method of phase space reconstruction theory, and the algorithm about extracting characteristic quantity of arc fault current is presented based on the fractal theory. By simulating using MATLAB software, the box-count dimension of the current phase space track charts for arc fault and the some electrical equipment with normal operation are calculated, its result prove this algorithm effective and feasible.

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Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

2069-2072

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Online since:

August 2012

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[1] Song Zhengxiang, Li Dongwei, Chen Huilin. Research and Analysis on Low Voltage Arc Fault. Low-voltage Apparatus Vo17. 1-8 (2009).

Google Scholar

[2] Lan Huili, Zhang Rencheng. Study on the Feature Extraction of Fault Arc Sound Signal Based on Wavelet Analysis. Proceedings of the CSU-EPSA Vo4. 57-61(2008).

Google Scholar

[3] Zhang Jizhong. Fractal. Tsinghua University Publishing Company. (2011).

Google Scholar

[4] George D. Gregory, Kon Wong, Robert F. Dvorak. More About Arc-Fault Circuit Interrupters. IEEE Transactions on Industry Applications Vo4. 1006-1011(2004).

DOI: 10.1109/tia.2004.831287

Google Scholar