Computing Birnbaum and Barlow-Proschan importance measures using system signature

dc.contributor.author	Yalcin, F.
dc.contributor.author	Franko, C.
dc.date.accessioned	2022-10-06T12:50:16Z
dc.date.available	2022-10-06T12:50:16Z
dc.date.issued	2021
dc.identifier.issn	03610926 (ISSN)
dc.identifier.uri	http://hdl.handle.net/11616/71738
dc.description.abstract	Component importance measures are widely used in engineering and reliability analysis in testing the safety of running systems. There are several component importance measures to realize which components in a coherent system play a more important role than the others. The most common ones belong to Birnbaum and Barlow & Proschan. In this paper a new method, based on the number of path sets with exactly i working components such that the component at sth place functions, has been proposed to evaluate these two measures for all types of systems appearing in the literature. © 2021 Taylor & Francis Group, LLC.
dc.source	Communications in Statistics - Theory and Methods
dc.title	Computing Birnbaum and Barlow-Proschan importance measures using system signature

Bu öğenin dosyaları:

Dosyalar	Boyut	Biçim	Göster
Bu öğe ile ilişkili dosya yok.