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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.
  • 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. (en)
Title
  • Contribution to Mathematical Modelling of Oil Field Data
  • Contribution to Mathematical Modelling of Oil Field Data (en)
skos:prefLabel
  • Contribution to Mathematical Modelling of Oil Field Data
  • Contribution to Mathematical Modelling of Oil Field Data (en)
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  • RIV/00216305:26210/13:PU103642!RIV14-GA0-26210___
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  • I, P(GAP403/11/2085)
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  • 66936
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  • RIV/00216305:26210/13:PU103642
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  • Off-line diagnostics, maintenance optimization, tribo-diagnostics, field data, regression analysis, fuzzy logic, residual life estimation (en)
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http://linked.open...ontrolniKodProRIV
  • [24D1BC50B917]
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  • Brno
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  • Neuveden
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  • Periodical of Applied Mechanics and Materials
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  • Vališ, David
  • Žák, Libor
  • Glos, Josef
  • Walek, Agata
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number of pages
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  • Neuveden
https://schema.org/isbn
  • 978-3-03785-733-5
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  • 26210
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