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VALIŠ, D. ŽÁK, L. POKORA, O.
Original Title
Failure prediction of diesel engine based on occurrence of selected wear particles in oil
Type
journal article in Web of Science
Language
English
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
System failure prediction; Material wear; System and material deterioration; System residual technical life estimation; Diffusion processes
Authors
VALIŠ, D.; ŽÁK, L.; POKORA, O.
RIV year
2014
Released
30. 9. 2014
ISBN
1350-6307
Periodical
ENGINEERING FAILURE ANALYSIS
Year of study
56
Number
10/2015
State
United Kingdom of Great Britain and Northern Ireland
Pages from
501
Pages to
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" }