Determining the Failure Probability Gradient of the Rank-Structure System by the Fast Simulation Method

A model of a redundant repairable system of the rank structure is considered. Its time operation is determined by distributions of general form. In order to evaluate the gradient of the probability of system failure in a given time interval, the fast simulation method is proposed. A numerical exampl...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Cybernetics and systems analysis 2023, Vol.59 (1), p.71-81
Hauptverfasser:	Kuznetsov, M. Yu, Kuznetsov, I. M., Shumska, A. A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Artificial Intelligence Component reliability Control Mathematics Mathematics and Statistics Methods Processor Architectures Simulation methods Software Engineering/Programming and Operating Systems Systems Theory
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page	81
container_issue	1
container_start_page	71
container_title	Cybernetics and systems analysis
container_volume	59
creator	Kuznetsov, M. Yu Kuznetsov, I. M. Shumska, A. A.
description	A model of a redundant repairable system of the rank structure is considered. Its time operation is determined by distributions of general form. In order to evaluate the gradient of the probability of system failure in a given time interval, the fast simulation method is proposed. A numerical example illustrates the application of this method to assess how the repair rates of components of different types affect the reliability of the entire system.
doi_str_mv	10.1007/s10559-023-00543-9
format	Article
fullrecord	<record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2787905006</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A743413756</galeid><sourcerecordid>A743413756</sourcerecordid><originalsourceid>FETCH-LOGICAL-c343t-bf5f3eb7f9956a48b47cf39807cea1843170a064ab55e678d92e67c01f3705a43</originalsourceid><addsrcrecordid>eNp9kU1P3DAQhqOqlUqhf6CnSD31YBiv7Tg-IigfEgjEtmfLyY6DaWKD7Ujsv8dLkBCXyoexRs8zM9JbVT8oHFIAeZQoCKEIrBgBEJwR9anao0Iy0jImP5c_NECAqeZr9S2lBwBgINu9ajjFjHFy3vmhzvdYnxk3zhHr2xg607nR5W19Hs3Goc91sK_MnfH_yDrHuc87dL1NGae6274NSLleu2keTXbB19eY78PmoPpizZjw-1vdr_6e_f5zckGubs4vT46vSM84y6SzwjLspFVKNIa3HZe9ZaoF2aOhLWdUgoGGm04IbGS7UatSeqCWSRCGs_3q5zL3MYanGVPWD2GOvqzUK9lKBQKgKdThQg1mRO28DTmavrwNTq4PHq0r_WPJGadMip3w64NQmIzPeTBzSvpyffeRXS1sH0NKEa1-jG4ycasp6F1aeklLl7T0a1paFYktUiqwHzC-3_0f6wV3KZZn</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2787905006</pqid></control><display><type>article</type><title>Determining the Failure Probability Gradient of the Rank-Structure System by the Fast Simulation Method</title><source>Springer Nature - Complete Springer Journals</source><creator>Kuznetsov, M. Yu ; Kuznetsov, I. M. ; Shumska, A. A.</creator><creatorcontrib>Kuznetsov, M. Yu ; Kuznetsov, I. M. ; Shumska, A. A.</creatorcontrib><description>A model of a redundant repairable system of the rank structure is considered. Its time operation is determined by distributions of general form. In order to evaluate the gradient of the probability of system failure in a given time interval, the fast simulation method is proposed. A numerical example illustrates the application of this method to assess how the repair rates of components of different types affect the reliability of the entire system.</description><identifier>ISSN: 1060-0396</identifier><identifier>EISSN: 1573-8337</identifier><identifier>DOI: 10.1007/s10559-023-00543-9</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Analysis ; Artificial Intelligence ; Component reliability ; Control ; Mathematics ; Mathematics and Statistics ; Methods ; Processor Architectures ; Simulation methods ; Software Engineering/Programming and Operating Systems ; Systems Theory</subject><ispartof>Cybernetics and systems analysis, 2023, Vol.59 (1), p.71-81</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>COPYRIGHT 2023 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c343t-bf5f3eb7f9956a48b47cf39807cea1843170a064ab55e678d92e67c01f3705a43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10559-023-00543-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10559-023-00543-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Kuznetsov, M. Yu</creatorcontrib><creatorcontrib>Kuznetsov, I. M.</creatorcontrib><creatorcontrib>Shumska, A. A.</creatorcontrib><title>Determining the Failure Probability Gradient of the Rank-Structure System by the Fast Simulation Method</title><title>Cybernetics and systems analysis</title><addtitle>Cybern Syst Anal</addtitle><description>A model of a redundant repairable system of the rank structure is considered. Its time operation is determined by distributions of general form. In order to evaluate the gradient of the probability of system failure in a given time interval, the fast simulation method is proposed. A numerical example illustrates the application of this method to assess how the repair rates of components of different types affect the reliability of the entire system.</description><subject>Analysis</subject><subject>Artificial Intelligence</subject><subject>Component reliability</subject><subject>Control</subject><subject>Mathematics</subject><subject>Mathematics and Statistics</subject><subject>Methods</subject><subject>Processor Architectures</subject><subject>Simulation methods</subject><subject>Software Engineering/Programming and Operating Systems</subject><subject>Systems Theory</subject><issn>1060-0396</issn><issn>1573-8337</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kU1P3DAQhqOqlUqhf6CnSD31YBiv7Tg-IigfEgjEtmfLyY6DaWKD7Ujsv8dLkBCXyoexRs8zM9JbVT8oHFIAeZQoCKEIrBgBEJwR9anao0Iy0jImP5c_NECAqeZr9S2lBwBgINu9ajjFjHFy3vmhzvdYnxk3zhHr2xg607nR5W19Hs3Goc91sK_MnfH_yDrHuc87dL1NGae6274NSLleu2keTXbB19eY78PmoPpizZjw-1vdr_6e_f5zckGubs4vT46vSM84y6SzwjLspFVKNIa3HZe9ZaoF2aOhLWdUgoGGm04IbGS7UatSeqCWSRCGs_3q5zL3MYanGVPWD2GOvqzUK9lKBQKgKdThQg1mRO28DTmavrwNTq4PHq0r_WPJGadMip3w64NQmIzPeTBzSvpyffeRXS1sH0NKEa1-jG4ycasp6F1aeklLl7T0a1paFYktUiqwHzC-3_0f6wV3KZZn</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Kuznetsov, M. Yu</creator><creator>Kuznetsov, I. M.</creator><creator>Shumska, A. A.</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>JQ2</scope></search><sort><creationdate>2023</creationdate><title>Determining the Failure Probability Gradient of the Rank-Structure System by the Fast Simulation Method</title><author>Kuznetsov, M. Yu ; Kuznetsov, I. M. ; Shumska, A. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c343t-bf5f3eb7f9956a48b47cf39807cea1843170a064ab55e678d92e67c01f3705a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Artificial Intelligence</topic><topic>Component reliability</topic><topic>Control</topic><topic>Mathematics</topic><topic>Mathematics and Statistics</topic><topic>Methods</topic><topic>Processor Architectures</topic><topic>Simulation methods</topic><topic>Software Engineering/Programming and Operating Systems</topic><topic>Systems Theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kuznetsov, M. Yu</creatorcontrib><creatorcontrib>Kuznetsov, I. M.</creatorcontrib><creatorcontrib>Shumska, A. A.</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Cybernetics and systems analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kuznetsov, M. Yu</au><au>Kuznetsov, I. M.</au><au>Shumska, A. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determining the Failure Probability Gradient of the Rank-Structure System by the Fast Simulation Method</atitle><jtitle>Cybernetics and systems analysis</jtitle><stitle>Cybern Syst Anal</stitle><date>2023</date><risdate>2023</risdate><volume>59</volume><issue>1</issue><spage>71</spage><epage>81</epage><pages>71-81</pages><issn>1060-0396</issn><eissn>1573-8337</eissn><abstract>A model of a redundant repairable system of the rank structure is considered. Its time operation is determined by distributions of general form. In order to evaluate the gradient of the probability of system failure in a given time interval, the fast simulation method is proposed. A numerical example illustrates the application of this method to assess how the repair rates of components of different types affect the reliability of the entire system.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10559-023-00543-9</doi><tpages>11</tpages></addata></record>
fulltext	fulltext
identifier	ISSN: 1060-0396
ispartof	Cybernetics and systems analysis, 2023, Vol.59 (1), p.71-81
issn	1060-0396 1573-8337
language	eng
recordid	cdi_proquest_journals_2787905006
source	Springer Nature - Complete Springer Journals
subjects	Analysis Artificial Intelligence Component reliability Control Mathematics Mathematics and Statistics Methods Processor Architectures Simulation methods Software Engineering/Programming and Operating Systems Systems Theory
title	Determining the Failure Probability Gradient of the Rank-Structure System by the Fast Simulation Method
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T09%3A17%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Determining%20the%20Failure%20Probability%20Gradient%20of%20the%20Rank-Structure%20System%20by%20the%20Fast%20Simulation%20Method&rft.jtitle=Cybernetics%20and%20systems%20analysis&rft.au=Kuznetsov,%20M.%20Yu&rft.date=2023&rft.volume=59&rft.issue=1&rft.spage=71&rft.epage=81&rft.pages=71-81&rft.issn=1060-0396&rft.eissn=1573-8337&rft_id=info:doi/10.1007/s10559-023-00543-9&rft_dat=%3Cgale_proqu%3EA743413756%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2787905006&rft_id=info:pmid/&rft_galeid=A743413756&rfr_iscdi=true