Arc-Fault Detection Method Research Based on Wavelet Transformation

Abstract:

The arc-fault is the main reason that cause electric fires. The technology of arc-fault circuit interrupters (AFCI) is the new circuit protection technology and it could avoid arc-fault causing fire effectively. The appearance of arc-fault can not be predicted. The traditional time domain or frequency domain analysis method for arc-fault signal processing is not ideal because it’s inaccurate and not in time. This paper bases on characteristics of arc-fault signals and analyzes the series connection arc-fault signal by Daubechies wavelet transform in 4 orders. As a result, it can provide the characteristics of arc-fault and detect arc-fault effectively and timely. This method is confirmed reliability by the simulation result and provides the theoretical basis of the development of AFCI.

• Periodical: Advanced Materials Research (Volume 646)
• Pages: 240-244
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.646.240
• Online since: January 2013
• Authors: Xin Jian Xiang, Zhang Lin
• Keywords: AFCI, Arc-Fault, Daubechies Wavelet Transform

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