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Description
  • Due to continuously increasing pressure from competitors to improve the quality of products, there is a demand for objective measurement and control methods for materials, processes and production processes. However, it is almost impossible to describe many structures (e.g. defects, surfaces, cracks, time series from dynamic processes) by conventional methods because they are complex and irregular. A new approach is the application of fractal geometry which is successfully used in science. Even though its applications in industry are quite rare and experimental, fractal geometry in conjunction with statistics can be used as a useful and powerful tool for an explicit, objective and automatic description of production process data (laboratory, off-line and potentially on-line). Despite the fact that this research focuses on data from the glass industry, the methodology and principles for data evaluation from industry can be applied to industry in general.
  • Due to continuously increasing pressure from competitors to improve the quality of products, there is a demand for objective measurement and control methods for materials, processes and production processes. However, it is almost impossible to describe many structures (e.g. defects, surfaces, cracks, time series from dynamic processes) by conventional methods because they are complex and irregular. A new approach is the application of fractal geometry which is successfully used in science. Even though its applications in industry are quite rare and experimental, fractal geometry in conjunction with statistics can be used as a useful and powerful tool for an explicit, objective and automatic description of production process data (laboratory, off-line and potentially on-line). Despite the fact that this research focuses on data from the glass industry, the methodology and principles for data evaluation from industry can be applied to industry in general. (en)
Title
  • Fractal geometry for industrial data evaluation
  • Fractal geometry for industrial data evaluation (en)
skos:prefLabel
  • Fractal geometry for industrial data evaluation
  • Fractal geometry for industrial data evaluation (en)
skos:notation
  • RIV/46747885:24620/13:#0000115!RIV14-MSM-24620___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED0005/01/01)
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  • 83
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 75626
http://linked.open...ai/riv/idVysledku
  • RIV/46747885:24620/13:#0000115
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Fractal geometry, Image analysis, Time series, Quality monitoring, Industrial application (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • BE - Belgické království
http://linked.open...ontrolniKodProRIV
  • [0836C8D88B19]
http://linked.open...i/riv/nazevZdroje
  • Computers & Mathematics with Applications
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 20
http://linked.open...iv/tvurceVysledku
  • Hotař, Vlastimil
issn
  • 0898-1221
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.camwa.2013.01.015
http://localhost/t...ganizacniJednotka
  • 24620
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