Surface Evaluation by Estimation of Fractal Dimension and Statistical Tools

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...

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Main Authors: Vlastimil Hotar, Petr Salac
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/435935
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author Vlastimil Hotar
Petr Salac
author_facet Vlastimil Hotar
Petr Salac
author_sort Vlastimil Hotar
collection DOAJ
description 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 of 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 paper intends to analyse data measured by a surface roughness tester. The methodology shown compares standard and nonstandard 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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institution Kabale University
issn 2356-6140
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language English
publishDate 2014-01-01
publisher Wiley
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series The Scientific World Journal
spelling doaj-art-e59489832a7748948f346b87047561822025-02-03T01:24:15ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/435935435935Surface Evaluation by Estimation of Fractal Dimension and Statistical ToolsVlastimil Hotar0Petr Salac1Department of Glass Producing Machines and Robotics, Technical University of Liberec, Studentská 1402/2, 461 17 Liberec, Czech RepublicDepartment of Mathematics and Didactics of Mathematics, Technical University of Liberec, Studentská 1402/2, 461 17 Liberec, Czech RepublicStructured 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 of 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 paper intends to analyse data measured by a surface roughness tester. The methodology shown compares standard and nonstandard 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).http://dx.doi.org/10.1155/2014/435935
spellingShingle Vlastimil Hotar
Petr Salac
Surface Evaluation by Estimation of Fractal Dimension and Statistical Tools
The Scientific World Journal
title Surface Evaluation by Estimation of Fractal Dimension and Statistical Tools
title_full Surface Evaluation by Estimation of Fractal Dimension and Statistical Tools
title_fullStr Surface Evaluation by Estimation of Fractal Dimension and Statistical Tools
title_full_unstemmed Surface Evaluation by Estimation of Fractal Dimension and Statistical Tools
title_short Surface Evaluation by Estimation of Fractal Dimension and Statistical Tools
title_sort surface evaluation by estimation of fractal dimension and statistical tools
url http://dx.doi.org/10.1155/2014/435935
work_keys_str_mv AT vlastimilhotar surfaceevaluationbyestimationoffractaldimensionandstatisticaltools
AT petrsalac surfaceevaluationbyestimationoffractaldimensionandstatisticaltools