Mean residual life of coherent systems consisting of multiple types of dependent components

No Thumbnail Available

Date

2018

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Wiley

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Organizational Units

Thumbnail Image
Organizational Unit
Industrial Engineering
(1998)
Industrial Engineering is a field of engineering that develops and applies methods and techniques to design, implement, develop and improve systems comprising of humans, materials, machines, energy and funding. Our department was founded in 1998, and since then, has graduated hundreds of individuals who may compete nationally and internationally into professional life. Accredited by MÜDEK in 2014, our student-centered education continues. In addition to acquiring the knowledge necessary for every Industrial engineer, our students are able to gain professional experience in their desired fields of expertise with a wide array of elective courses, such as E-commerce and ERP, Reliability, Tabulation, or Industrial Engineering Applications in the Energy Sector. With dissertation projects fictionalized on solving real problems at real companies, our students gain experience in the sector, and a wide network of contacts. Our education is supported with ERASMUS programs. With the scientific studies of our competent academic staff published in internationally-renowned magazines, our department ranks with the bests among other universities. IESC, one of the most active student networks at our university, continues to organize extensive, and productive events every year.

Journal Issue

Events

Abstract

Mean residual life is a useful dynamic characteristic to study reliability of a system. It has been widely considered in the literature not only for single unit systems but also for coherent systems. This article is concerned with the study of mean residual life for a coherent system that consists of multiple types of dependent components. In particular, the survival signature based generalized mixture representation is obtained for the survival function of a coherent system and it is used to evaluate the mean residual life function. Furthermore, two mean residual life functions under different conditional events on components' lifetimes are also defined and studied.

Description

Maturi, Tahani/0000-0002-0229-2671; Eryilmaz, Serkan/0000-0002-2108-1781
ORCID
Maturi, Tahani ORCID logo
Eryilmaz, Serkan ORCID logo

Keywords

dependence, mean residual life, minimal survival signature, reliability, survival signature

Turkish CoHE Thesis Center URL

Fields of Science

Citation

WoS Q

Q3

Scopus Q

Q2

Source

Volume

65

Issue

1

Start Page

86

End Page

97

URI

https://doi.org/10.1002/nav.21782
 https://hdl.handle.net/20.500.14411/2696

Collections

WOS
Scopus