VALIŠ, David, Libor ŽÁK a Ondřej POKORA. Failure prediction of diesel engine based on occurrence of selected wear particles in oil. Online. Engineering Failure Analysis. PERGAMON-ELSEVIER SCIENCE LTD, 2015, roč. 56, october, s. 501-511. ISSN 1350-6307. Dostupné z: https://dx.doi.org/10.1016/j.engfailanal.2014.11.020. [citováno 2024-04-23] |
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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 a Ondřej POKORA. Failure prediction of diesel engine based on occurrence of selected wear particles in oil. Online. \textit{Engineering Failure Analysis}. PERGAMON-ELSEVIER SCIENCE LTD, 2015, roč.~56, october, s.~501-511. ISSN~1350-6307. Dostupné z: https://dx.doi.org/10.1016/j.engfailanal.2014.11.020. [citováno 2024-04-23]
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