Classical and Bayesian estimation of stress-strength reliability of a component having multiple states

Verfasst von

Siju K C, Mahesh Kumar, Michael Beer

Abstract

Purpose: This article presents the multi-state stress-strength reliability computation of a component having three states namely, working, deteriorating and failed state. Design/methodology/approach: The probabilistic approach is used to obtain the reliability expression by considering the difference between the values of stress and strength of a component, say, for example, the stress (load) and strength of a power generating unit is in terms of megawatt. The range of values taken by the difference variable determines the various states of the component. The method of maximum likelihood and Bayesian estimation is used to obtain the estimators of the parameters and system reliability. Findings: The maximum likelihood and Bayesian estimates of the reliability approach the actual reliability for increasing sample size. Originality/value: Obtained a new expression for the multi-state stress-strength reliability of a component and the findings are positively supported by presenting the general trend of estimated values of reliability approaching the actual value of reliability.

Details

Organisationseinheit(en)
Institut für Risiko und Zuverlässigkeit
Externe Organisation(en)
Vidya Academy of Science and Technology
National Institute of Technology Calicut
Typ
Artikel
Journal
International Journal of Quality and Reliability Management
Band
38
Seiten
528-535
Anzahl der Seiten
8
ISSN
0265-671X
Publikationsdatum
03.02.2021
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Allgemeine Unternehmensführung und Buchhaltung, Strategie und Management
Elektronische Version(en)
https://doi.org/10.1108/IJQRM-01-2020-0009 (Zugang: Geschlossen )