Publication detail

Possibilities of Mathematical Modelling of Tribo-Diagnostics Data

GLOS, J. ŽÁK, L. VALIŠ, D.

Original Title

Possibilities of Mathematical Modelling of Tribo-Diagnostics Data

Type

journal article - other

Language

English

Original Abstract

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 quality, risk and dependability management processes, e.g. for optimization during an operation and maintenance phase, logistics and spare parts planning, life cycle costing, mission planning.

Keywords

maintenance optimization, tribo-diagnostics, regression analysis, fuzzy logic, wears.

Authors

GLOS, J.; ŽÁK, L.; VALIŠ, D.

RIV year

2013

Released

1. 10. 2013

ISBN

1822-296X

Periodical

Transport Means

Year of study

2013

Number

10

State

Republic of Lithuania

Pages from

216

Pages to

219

Pages count

4

BibTex

@article{BUT106781,
  author="Josef {Glos} and Libor {Žák} and David {Vališ}",
  title="Possibilities of Mathematical Modelling of Tribo-Diagnostics Data",
  journal="Transport Means",
  year="2013",
  volume="2013",
  number="10",
  pages="216--219",
  issn="1822-296X"
}