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 |