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Fractal dimension of long electrical discharges
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
2015 (English)In: Journal of Electrostatics, ISSN 0304-3886, E-ISSN 1873-5738, Vol. 73, 33-37 p.Article in journal (Refereed) Published
Abstract [en]

The fractal dimension of 500 mm long electrical discharges is presented by analyzing a set of photographic images. Three popular fractal dimension estimation techniques, box counting, sandbox and correlation function methods were used to estimate the fractal dimension of the discharge channels. To remove the apparent thickness due to varying magnitudes of current in the discharge channels, edge detection algorithms were utilized. The estimated fractal dimensions for box counting, sandbox and correlation function for long laboratory sparks were 1.20 +/- 0.06,1.66 +/- 0.05 and 1.52 +/- 0.12 respectively. Within statistical uncertainties, the estimated fractal dimensions of positive and negative polarities agreed very well. (C) 2014 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
2015. Vol. 73, 33-37 p.
Keyword [en]
Fractals, Tortuosity, Long sparks, Edge detection, Image analysis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Engineering Science with specialization in Science of Electricity
Identifiers
URN: urn:nbn:se:uu:diva-245350DOI: 10.1016/j.elstat.2014.10.015ISI: 000348086300006OAI: oai:DiVA.org:uu-245350DiVA: diva2:791424
Available from: 2015-02-27 Created: 2015-02-26 Last updated: 2017-12-04Bibliographically approved

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Berg, MarcusCooray, Vernon

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