Arc Fault and Flash Signal Analysis in DC Distribution Systems Using Wavelet Transformation Academic Article

abstract

• 2010-2012 IEEE. Arc faults have always been a concern for electrical systems, as they can cause fires, personnel shock hazard, and system failure. Existing commercialized techniques that rely on pattern recognition in the time domain or frequency domain analysis using a Fourier transform do not work well, because the signal-to-noise ratio is low and the arc signal is not periodic. Instead, wavelet transform (WT) provides a time and frequency approach to analyze target signals with multiple resolutions. In this paper, a new approach using WT for arc fault analysis in dc systems is proposed. The process of detecting an arc fault involves signal analysis and then feature identification. The focus of this paper is on the former. Simulation models are synthesized to study the theoretical results of the proposed methodology and traditional fast Fourier transform analysis on arcing faults. Experimental data from the dc system of a photovoltaic array is also shown to validate the approach.

authors

• Balog, Robert

published proceedings

• IEEE TRANSACTIONS ON SMART GRID

author list (cited authors)

• Wang, Z., & Balog, R. S.

citation count

• 85

complete list of authors

• Wang, Zhan||Balog, Robert S

publication date

• July 2015

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Smart Grid  Journal

keywords

• Arc Fault Analysis
• Arc Flash
• Dc Distribution
• Dc Microgrid Safety
• Signal Processing
• Wavelet Transform (wt)

Digital Object Identifier (DOI)

• 10.1109/TSG.2015.2407868

start page

• 1955

end page

• 1963

volume

• 6

issue

• 4

URL

• http://dx.doi.org/10.1109/tsg.2015.2407868