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  • In our research has improved an approach of compass dimension calculating for topological one-dimensional objects (especially signals, time series or dividing lines). The method was named Evaluation of length changes with Elimination of insignificant Extremes (EEE). The method stems from an estimation of the fractal dimension, so it measures changes of lengths in sequential steps. The EEE method does not use a fixed “ruler” for measurement in every step, but the line is defined by local extremes (maxima and minima). Mathematically generated functions (e.g. based on the Hurst coefficient), time series from real production processes and dividing lines (surface profiles and surface roughness) were used for experiments. The results show good potential for applications in off-line evaluations of data sets and on-line monitoring and control.
  • In our research has improved an approach of compass dimension calculating for topological one-dimensional objects (especially signals, time series or dividing lines). The method was named Evaluation of length changes with Elimination of insignificant Extremes (EEE). The method stems from an estimation of the fractal dimension, so it measures changes of lengths in sequential steps. The EEE method does not use a fixed “ruler” for measurement in every step, but the line is defined by local extremes (maxima and minima). Mathematically generated functions (e.g. based on the Hurst coefficient), time series from real production processes and dividing lines (surface profiles and surface roughness) were used for experiments. The results show good potential for applications in off-line evaluations of data sets and on-line monitoring and control. (en)
Title
  • EEE Method: Improved Approach of Compass Dimension Calculation
  • EEE Method: Improved Approach of Compass Dimension Calculation (en)
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  • EEE Method: Improved Approach of Compass Dimension Calculation
  • EEE Method: Improved Approach of Compass Dimension Calculation (en)
skos:notation
  • RIV/46747885:24620/13:#0000396!RIV14-MSM-24620___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED0005/01/01), S
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  • 71278
http://linked.open...ai/riv/idVysledku
  • RIV/46747885:24620/13:#0000396
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  • Generated function, Hurst coefficient, Local extremes, Online monitoring, Production process, Surface profiles (en)
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  • [427467B3B3BA]
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  • Ostrava
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  • Switzerland
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  • Advances in Intelligent Systems and Computing
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http://linked.open...vavai/riv/projekt
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  • Hotař, Vlastimil
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http://linked.open.../riv/zahajeniAkce
issn
  • 2194-5357
number of pages
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  • 10.1007/978-3-319-00542-3_35
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  • Springer-Verlag
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  • 978-3-319-00541-6
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  • 24620
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