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  • The aim of this paper is to explore the possibilities of using the image analysis combined with the method of analytical ferrography and suggest a tool for automated particle classification. Current methods of wear particle analysis are derived from the evaluation that does not offer an exact idea of processes that take place between the friction surfaces in the engine system. The work is based upon the method of analytical ferrography which allows to evaluate the state of the machine. The benefit of use of classifiers defined in this wirk is the possibility of automated evaluation of analytical ferrography outputs; the use of them eliminates the crucial disadvantage of ferrographical analysis which is its dependence on the subjective evaluation done by the expert who performs the analysis.
  • The aim of this paper is to explore the possibilities of using the image analysis combined with the method of analytical ferrography and suggest a tool for automated particle classification. Current methods of wear particle analysis are derived from the evaluation that does not offer an exact idea of processes that take place between the friction surfaces in the engine system. The work is based upon the method of analytical ferrography which allows to evaluate the state of the machine. The benefit of use of classifiers defined in this wirk is the possibility of automated evaluation of analytical ferrography outputs; the use of them eliminates the crucial disadvantage of ferrographical analysis which is its dependence on the subjective evaluation done by the expert who performs the analysis. (en)
Title
  • Image Analysis in Tribodiagnostics
  • Image Analysis in Tribodiagnostics (en)
skos:prefLabel
  • Image Analysis in Tribodiagnostics
  • Image Analysis in Tribodiagnostics (en)
skos:notation
  • RIV/00216275:25510/11:39894507!RIV12-MSM-25510___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021627505)
http://linked.open...iv/cisloPeriodika
  • 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 203528
http://linked.open...ai/riv/idVysledku
  • RIV/00216275:25510/11:39894507
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Image analysis, analytical ferrography, classification, wear particles, AdaBoost, image features, machine learning. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • SK - Slovenská republika
http://linked.open...ontrolniKodProRIV
  • [6426ED4FAD59]
http://linked.open...i/riv/nazevZdroje
  • Information Sciences and Technologies Bulletin of the ACM Slovakia
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 3
http://linked.open...iv/tvurceVysledku
  • Machalík, Stanislav
http://linked.open...n/vavai/riv/zamer
issn
  • 1338-1237
number of pages
http://localhost/t...ganizacniJednotka
  • 25510
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