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ON JOINT IMPORTANCE MEASURES FOR MULTISTATE RELIABILITY SYSTEMS

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dc.contributor.author Chacko, V M
dc.date.accessioned 2025-01-17T10:17:14Z
dc.date.available 2025-01-17T10:17:14Z
dc.date.issued 2021-12
dc.identifier.citation Gnedenko Forum Volume 16 en_US
dc.identifier.uri https://www.gnedenko.net/Journal/2021/042021/RTA_4_2021-22.pdf
dc.identifier.uri http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/387
dc.description.abstract The use of importance and joint importance measures to identify the weak areas of a system and signify the roles of components in either causing or contributing to proper functioning of the system, is explained by several researchers in system engineering. But a few research outputs are available in literature for finding joint importance measures for two or more components. This paper introduces, new Joint Reliability Achievement Worth (JRAW), Joint Reliability Reduction Worth (JRRW) and Joint Reliability Fussell-Vesely measure (JRFV) for two components, of a multistate system. This is a new approach to find out the joint effect of group of components in improving system reliability. A steady state performance level distribution with restriction to the component’s states is used to evaluate the proposed measures. Universal generating function (UGF) technique is applied for the evaluation of proposed joint importance measures. An illustrative example is provided en_US
dc.language.iso en en_US
dc.publisher Gnedenko Forum en_US
dc.subject Multistate system en_US
dc.subject reliability en_US
dc.subject joint importance measure en_US
dc.subject universal generating function en_US
dc.title ON JOINT IMPORTANCE MEASURES FOR MULTISTATE RELIABILITY SYSTEMS en_US
dc.type Article en_US


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