| VALIŠ, David, Libor ŽÁK and Ondřej POKORA. Failure prediction of diesel engine based on occurrence of selected wear particles in oil. Engineering Failure Analysis. PERGAMON-ELSEVIER SCIENCE LTD, 2015, vol. 56, october, p. 501-511. ISSN 1350-6307. Available from: https://dx.doi.org/10.1016/j.engfailanal.2014.11.020. |
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@article{1297380,
author = {Vališ, David and Žák, Libor and Pokora, Ondřej},
article_number = {october},
doi = {http://dx.doi.org/10.1016/j.engfailanal.2014.11.020},
keywords = {System failure prediction; Material wear; System and material deterioration; System residual technical life estimation; Diffusion processes},
language = {eng},
issn = {1350-6307},
journal = {Engineering Failure Analysis},
title = {Failure prediction of diesel engine based on occurrence of selected wear particles in oil},
volume = {56},
year = {2015}
}
TY - JOUR
ID - 1297380
AU - Vališ, David - Žák, Libor - Pokora, Ondřej
PY - 2015
TI - Failure prediction of diesel engine based on occurrence of selected wear particles in oil
JF - Engineering Failure Analysis
VL - 56
IS - october
SP - 501-511
EP - 501-511
PB - PERGAMON-ELSEVIER SCIENCE LTD
SN - 13506307
KW - System failure prediction
KW - Material wear
KW - System and material deterioration
KW - System residual technical life estimation
KW - Diffusion processes
N2 - When assessing reliability, the principles of system failure prognostic are basic requirements. Condition-based maintenance is more demanding when estimating a system failure and residual/remaining technical life time (RTL). 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. Our approach is very different from other papers published in this area as their data were often artificial or viewed as potentially useful, but they never existed. The advantage and novelty of the outcomes presented in the article are that they might be used mainly for predicting failure occurrence and also for optimising intervals of preventive maintenance (PM), analyzing cost-benefit and planning operation/mission.
ER -
VALIŠ, David, Libor ŽÁK and Ondřej POKORA. Failure prediction of diesel engine based on occurrence of selected wear particles in oil. \textit{Engineering Failure Analysis}. PERGAMON-ELSEVIER SCIENCE LTD, 2015, vol.~56, october, p.~501-511. ISSN~1350-6307. Available from: https://dx.doi.org/10.1016/j.engfailanal.2014.11.020.
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