Publication detail

Failure prediction of diesel engine based on occurrence of selected wear particles in oil

VALIŠ, D. ŽÁK, L. POKORA, O.

English title

Failure prediction of diesel engine based on occurrence of selected wear particles in oil

Type

WoS Article

Language

en

Original abstract

This paper introduces analytical and prognostic methods used for assessing system material wear to predict a failure occurrence. The principles presented in the article are based on indirect but real diagnostic oil data. We concentrate on wear metal particles such as iron (Fe) and lead (Pb) as potential failure indicators.

Keywords in English

System failure prediction; Material wear; System and material deterioration; System residual technical life estimation; Diffusion processes

Released

2014-09-30

ISSN

1350-6307

Journal

Engineering Failure Analysis

Volume

56

Number

10/2015

Pages from–to

501–511

Pages count

11

BIBTEX


@article{BUT116759,
  author="David {Vališ} and Libor {Žák} and Ondřej {Pokora}",
  title="Failure prediction of diesel engine based on occurrence of selected wear particles in oil",
  journal="Engineering Failure Analysis",
  year="2014",
  volume="56",
  number="10/2015",
  pages="501--511",
  issn="1350-6307"
}