Failure prediction of diesel engine based on occurrence of selected wear particles in oil
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F14%3APU115449" target="_blank" >RIV/00216305:26210/14:PU115449 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14310/15:00082688 RIV/60162694:G43__/15:00522868
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Failure prediction of diesel engine based on occurrence of selected wear particles in oil
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20306 - Audio engineering, reliability analysis
Result continuities
Project
<a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ENGINEERING FAILURE ANALYSIS
ISSN
1350-6307
e-ISSN
1873-1961
Volume of the periodical
56
Issue of the periodical within the volume
10/2015
Country of publishing house
GB - UNITED KINGDOM
Number of pages
11
Pages from-to
501-511
UT code for WoS article
000361832300049
EID of the result in the Scopus database
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