Formation of „koon” systems reliability estimated with analytical and simulation calculation methods

The methods of reliability estimation applied in order to verify the reliability level of koon systems consisting of renewable objects are presented in the paper. Application of the selected methods allows one to quickly verify the reliability level and to set the number of redundant elements in the...

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Main Authors:	Młynarski Stanisław, Pilch Robert, Smolnik Maksymilian, Szybka Jan, Wiązania Grzegorz
Format:	Article
Language:	English
Published:	Sciendo 2017-06-01
Series:	Journal of KONBiN
Subjects:	reliability renewable objects koon systems reliability estimation methods
Online Access:	https://doi.org/10.1515/jok-2017-0028

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spelling	doaj-abd45a45265245ae95b74fe819fdc1202021-09-06T19:40:49ZengSciendoJournal of KONBiN2083-46082017-06-0142125527210.1515/jok-2017-0028jok-2017-0028Formation of „koon” systems reliability estimated with analytical and simulation calculation methodsMłynarski Stanisław0Pilch Robert1Smolnik Maksymilian2Szybka Jan3Wiązania Grzegorz4Cracow University of TechnologyAGH University of Science and TechnologyAGH University of Science and TechnologyAGH University of Science and TechnologyAGH University of Science and TechnologyThe methods of reliability estimation applied in order to verify the reliability level of koon systems consisting of renewable objects are presented in the paper. Application of the selected methods allows one to quickly verify the reliability level and to set the number of redundant elements in the real technical systems.https://doi.org/10.1515/jok-2017-0028reliabilityrenewable objectskoon systemsreliability estimation methods
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Młynarski Stanisław Pilch Robert Smolnik Maksymilian Szybka Jan Wiązania Grzegorz
spellingShingle	Młynarski Stanisław Pilch Robert Smolnik Maksymilian Szybka Jan Wiązania Grzegorz Formation of „koon” systems reliability estimated with analytical and simulation calculation methods Journal of KONBiN reliability renewable objects koon systems reliability estimation methods
author_facet	Młynarski Stanisław Pilch Robert Smolnik Maksymilian Szybka Jan Wiązania Grzegorz
author_sort	Młynarski Stanisław
title	Formation of „koon” systems reliability estimated with analytical and simulation calculation methods
title_short	Formation of „koon” systems reliability estimated with analytical and simulation calculation methods
title_full	Formation of „koon” systems reliability estimated with analytical and simulation calculation methods
title_fullStr	Formation of „koon” systems reliability estimated with analytical and simulation calculation methods
title_full_unstemmed	Formation of „koon” systems reliability estimated with analytical and simulation calculation methods
title_sort	formation of „koon” systems reliability estimated with analytical and simulation calculation methods
publisher	Sciendo
series	Journal of KONBiN
issn	2083-4608
publishDate	2017-06-01
description	The methods of reliability estimation applied in order to verify the reliability level of koon systems consisting of renewable objects are presented in the paper. Application of the selected methods allows one to quickly verify the reliability level and to set the number of redundant elements in the real technical systems.
topic	reliability renewable objects koon systems reliability estimation methods
url	https://doi.org/10.1515/jok-2017-0028
work_keys_str_mv	AT młynarskistanisław formationofkoonsystemsreliabilityestimatedwithanalyticalandsimulationcalculationmethods AT pilchrobert formationofkoonsystemsreliabilityestimatedwithanalyticalandsimulationcalculationmethods AT smolnikmaksymilian formationofkoonsystemsreliabilityestimatedwithanalyticalandsimulationcalculationmethods AT szybkajan formationofkoonsystemsreliabilityestimatedwithanalyticalandsimulationcalculationmethods AT wiazaniagrzegorz formationofkoonsystemsreliabilityestimatedwithanalyticalandsimulationcalculationmethods
_version_	1717767697135042560

Formation of „koon” systems reliability estimated with analytical and simulation calculation methods

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