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  • The paper deals with application of selected analytical methods in order to analyse field data from heavy off-road military vehicles. The information from the engine oil are interpreted in form of polluting particles like particles from wear process (e.g. Fe, Pb, Cu, etc.) and particles from oil deterioration itself (like Mn, Si, Zn, etc.). These particles can give us information both about system state and about oil state.
  • The paper deals with application of selected analytical methods in order to analyse field data from heavy off-road military vehicles. The information from the engine oil are interpreted in form of polluting particles like particles from wear process (e.g. Fe, Pb, Cu, etc.) and particles from oil deterioration itself (like Mn, Si, Zn, etc.). These particles can give us information both about system state and about oil state. (en)
Title
  • On Approaches of Assessment of Tribo Data from Medium Lorry Truck
  • On Approaches of Assessment of Tribo Data from Medium Lorry Truck (en)
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  • On Approaches of Assessment of Tribo Data from Medium Lorry Truck
  • On Approaches of Assessment of Tribo Data from Medium Lorry Truck (en)
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  • RIV/00216305:26210/13:PU108517!RIV14-GA0-26210___
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  • I, P(GAP403/11/2085)
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  • 93651
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  • RIV/00216305:26210/13:PU108517
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  • Field data assessment, off-line diagnostics, inputs to maintenance optimization, tribo-diagnostics, regression analysis, fuzzy logic, residual life estimation (en)
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  • [D719F55479E4]
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  • Ostrava
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  • Neuveden
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  • Advances in Intelligent Systems and Computing
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  • Vališ, David
  • Žák, Libor
  • Walek, Agata
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number of pages
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  • Neuveden
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  • 978-3-319-00541-6
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  • 26210
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