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  • The paper deals with application of selected suitable analytical methods use to analyse field data from medium off-road military vehicles. Some pieces of information from oil are interpreted thank to diagnostics in form of polluting particles. Such particles represent processes in the engine like wear (e.g. Fe, Cu, Pb, etc.) and oil condition (like e.g. Mn, Si, Zn, etc.). These particles can give us information both about system state and about oil state. Thank to good recording system we have data from field operation available. Therefore we decided to use selected analytical – algebraic methods for determining the specific particles generating trend. Based on the outcomes we hope to be able to determine the system condition (e.g. residual operation life, maintenance modifications in the intervals, etc.). Selected methods like regression analysis, base functions and fuzzy inference system will be used for the data assessment. The results itself might be beneficial in other forthcoming analysis like
  • The paper deals with application of selected suitable analytical methods use to analyse field data from medium off-road military vehicles. Some pieces of information from oil are interpreted thank to diagnostics in form of polluting particles. Such particles represent processes in the engine like wear (e.g. Fe, Cu, Pb, etc.) and oil condition (like e.g. Mn, Si, Zn, etc.). These particles can give us information both about system state and about oil state. Thank to good recording system we have data from field operation available. Therefore we decided to use selected analytical – algebraic methods for determining the specific particles generating trend. Based on the outcomes we hope to be able to determine the system condition (e.g. residual operation life, maintenance modifications in the intervals, etc.). Selected methods like regression analysis, base functions and fuzzy inference system will be used for the data assessment. The results itself might be beneficial in other forthcoming analysis like (en)
Title
  • Possibilities of Mathematical Modelling of Tribo-Diagnostics Data
  • Possibilities of Mathematical Modelling of Tribo-Diagnostics Data (en)
skos:prefLabel
  • Possibilities of Mathematical Modelling of Tribo-Diagnostics Data
  • Possibilities of Mathematical Modelling of Tribo-Diagnostics Data (en)
skos:notation
  • RIV/00216305:26210/13:PU108511!RIV14-GA0-26210___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP403/11/2085)
http://linked.open...iv/cisloPeriodika
  • 10
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
  • 97574
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26210/13:PU108511
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • maintenance optimization, tribo-diagnostics, regression analysis, fuzzy logic, wears. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • LT - Litevská republika
http://linked.open...ontrolniKodProRIV
  • [080E6C8EF387]
http://linked.open...i/riv/nazevZdroje
  • Transport Means
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
  • 2013
http://linked.open...iv/tvurceVysledku
  • Vališ, David
  • Žák, Libor
  • Glos, Josef
issn
  • 1822-296X
number of pages
http://localhost/t...ganizacniJednotka
  • 26210
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