HOTAŘ, Vlastimil and Petr SALAČ. Surface Evaluation by Estimation of Fractal Dimension and Statistical Tools. SCIENTIFIC WORLD JOURNAL. USA, 2014, Volume2014, Article ID 435935, p. 1-10. ISSN 1537-744X. Available from: https://dx.doi.org/10.1155/2014/435935.
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Basic information
Original name Surface Evaluation by Estimation of Fractal Dimension and Statistical Tools
Authors HOTAŘ, Vlastimil (203 Czech Republic, guarantor) and Petr SALAČ (203 Czech Republic, belonging to the institution).
Edition SCIENTIFIC WORLD JOURNAL, USA, 2014, 1537-744X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study Applied statistics, operational research
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/46747885:24510/14:#0001156
Organization Faculty of Science, Humanities and Education – Technical University of Liberec – Repository
Doi http://dx.doi.org/10.1155/2014/435935
UT WoS 000343442000001
Keywords in English fractal geometry; surface; statistic
Tags International impact, Reviewed
Changed by Changed by: Petr Salac, učo 498. Changed: 3/4/2015 18:29.
Abstract
Structured and complex data can be found in many applications in research and development, and also in industrial practice. We developed a methodology for describing the structured data complexity, and applied it in development and industrial practice. The methodology uses fractal dimension together with statistical tools and with software modification is able to analyse data in a form sequence (signals, surface roughness), 2D images and dividing lines. The methodology had not been tested for a relatively large collection of data. For this reason, samples with structured surfaces produced with different technologies and properties were measured and evaluated with many types of parameters. The article intends to analyse data measured by a surface roughness tester. The methodology shown compares standard and non-standard parameters, searches the optimal parameters for a complete analysis, and specifies the sensitivity to directionality of samples for these types of surfaces. The text presents application of fractal geometry (fractal dimension) for complex surface analysis in combination with standard roughness parameters (statistical tool).
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