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

Author:

K C Siju,Kumar Mahesh,Beer Michael

Abstract

PurposeThis article presents the multi-state stress-strength reliability computation of a component having three states namely, working, deteriorating and failed state.Design/methodology/approachThe 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.FindingsThe maximum likelihood and Bayesian estimates of the reliability approach the actual reliability for increasing sample size.Originality/valueObtained 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.

Publisher

Emerald

Subject

Strategy and Management,General Business, Management and Accounting

Reference16 articles.

1. Dynamic reliability evaluation for a multi-state component under stress-strength model;The Journal of Nonlinear Science and Applications,2017

2. Reliability evaluation for a multi-state system under stress-strength setup;Communications in Statistics - Theory and Methods,2011

3. Consecutive k-out-of-n: G system in stress-strength setup;Communications in Statistics - Simulation and Computation R,2008

4. A new perspective to stress-strength models;Annals of the Institute of Statistical Mathematics,2011

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