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A Study on the Arc Detection Algorithm via Analysis of the Arc's Electric Characteristics

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In this paper, we propose an arc detection algorithm that is carried out via the analysis of the arc's electric characteristics. Additionally, in order to reduce the error rate and increase the detection reliability for the realtime arc detection algorithm executed in the time and frequency domains, the wavelet-based adaptive algorithm, which was executed in the transform domain, was also applied in order to propose a new real-time arc detection algorithm. This simulation is divided into three steps: the time, frequency, and transform domains. Simulation was conducted for arc detection for each step in order to verify the algorithm performance.
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Document Type: Research Article

Publication date: March 1, 2016

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  • Science of Advanced Materials (SAM) is an interdisciplinary peer-reviewed journal consolidating research activities in all aspects of advanced materials in the fields of science, engineering and medicine into a single and unique reference source. SAM provides the means for materials scientists, chemists, physicists, biologists, engineers, ceramicists, metallurgists, theoreticians and technocrats to publish original research articles as reviews with author's photo and short biography, full research articles and communications of important new scientific and technological findings, encompassing the fundamental and applied research in all latest aspects of advanced materials.
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