Use of fractal analysis to evaluate the surface quality of agricultural machinery parts

Use of fractal analysis to evaluate the surface quality of agricultural machinery parts

The research of the determination of the fractal characteristics of the surface of a material proposes the use of a stationary profilograph and a computer program for calculating the Hurst exponent. The low accuracy of fractal analysis using the well-known computer program Fractan is revealed. A com...

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Main Authors: Bavykin Oleg, Levina Tatyana, Matrosova Vladlena, Klochkov Anatoly, Enin Vitaliy
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:BIO Web of Conferences
Online Access:https://www.bio-conferences.org/articles/bioconf/full_html/2020/01/bioconf_fies2020_00189/bioconf_fies2020_00189.html
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spelling doaj-343876d3bbbf422a9f2d624289acaa702021-04-02T18:41:42ZengEDP SciencesBIO Web of Conferences2117-44582020-01-01170018910.1051/bioconf/20201700189bioconf_fies2020_00189Use of fractal analysis to evaluate the surface quality of agricultural machinery partsBavykin OlegLevina TatyanaMatrosova VladlenaKlochkov AnatolyEnin VitaliyThe research of the determination of the fractal characteristics of the surface of a material proposes the use of a stationary profilograph and a computer program for calculating the Hurst exponent. The low accuracy of fractal analysis using the well-known computer program Fractan is revealed. A computer program developed in VBA for the fractal analysis of the time series is described. The high accuracy of the algorithms for calculating the Hurst exponent incorporated in this program is shown.https://www.bio-conferences.org/articles/bioconf/full_html/2020/01/bioconf_fies2020_00189/bioconf_fies2020_00189.html
collection DOAJ
language English
format Article
sources DOAJ
author Bavykin Oleg
Levina Tatyana
Matrosova Vladlena
Klochkov Anatoly
Enin Vitaliy
spellingShingle Bavykin Oleg
Levina Tatyana
Matrosova Vladlena
Klochkov Anatoly
Enin Vitaliy
Use of fractal analysis to evaluate the surface quality of agricultural machinery parts
BIO Web of Conferences
author_facet Bavykin Oleg
Levina Tatyana
Matrosova Vladlena
Klochkov Anatoly
Enin Vitaliy
author_sort Bavykin Oleg
title Use of fractal analysis to evaluate the surface quality of agricultural machinery parts
title_short Use of fractal analysis to evaluate the surface quality of agricultural machinery parts
title_full Use of fractal analysis to evaluate the surface quality of agricultural machinery parts
title_fullStr Use of fractal analysis to evaluate the surface quality of agricultural machinery parts
title_full_unstemmed Use of fractal analysis to evaluate the surface quality of agricultural machinery parts
title_sort use of fractal analysis to evaluate the surface quality of agricultural machinery parts
publisher EDP Sciences
series BIO Web of Conferences
issn 2117-4458
publishDate 2020-01-01
description The research of the determination of the fractal characteristics of the surface of a material proposes the use of a stationary profilograph and a computer program for calculating the Hurst exponent. The low accuracy of fractal analysis using the well-known computer program Fractan is revealed. A computer program developed in VBA for the fractal analysis of the time series is described. The high accuracy of the algorithms for calculating the Hurst exponent incorporated in this program is shown.
url https://www.bio-conferences.org/articles/bioconf/full_html/2020/01/bioconf_fies2020_00189/bioconf_fies2020_00189.html
work_keys_str_mv AT bavykinoleg useoffractalanalysistoevaluatethesurfacequalityofagriculturalmachineryparts
AT levinatatyana useoffractalanalysistoevaluatethesurfacequalityofagriculturalmachineryparts
AT matrosovavladlena useoffractalanalysistoevaluatethesurfacequalityofagriculturalmachineryparts
AT klochkovanatoly useoffractalanalysistoevaluatethesurfacequalityofagriculturalmachineryparts
AT eninvitaliy useoffractalanalysistoevaluatethesurfacequalityofagriculturalmachineryparts
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