DocumentCode
3037951
Title
Reliability evaluation for m-consecutive-k-out-of-n: F system with Burr XII components
Author
Shi, Yi-min ; Gu, Xin ; Sun, Yu-dong
Author_Institution
Dept. of Appl. Math., Northwestern Polytech. Univ., Xi´´an, China
fYear
2011
fDate
26-28 July 2011
Firstpage
2314
Lastpage
2317
Abstract
Based on Type-II doubly censored samples, we study the reliability evaluation of m-consecutive -k-out-of-n: F system with Burr XII components. Classical statistical method and Bayes approach have been used to derive the MLE, Bayesian estimator and E-Bayesian estimator for unknown parameter and system reliability. The statistical performances are compared through the accuracy of MSE based on Monte-Carlo simulation. According to these comparisons, it is concluded that the E- Bayesian estimations are preferable.
Keywords
Bayes methods; Monte Carlo methods; reliability theory; Bayes approach; Burr XII components; E- Bayesian estimation; E-Bayesian estimator; Monte Carlo simulation; reliability evaluation; statistical method; system reliability; type-II doubly censored samples; Bayesian methods; Data models; Maximum likelihood estimation; Numerical simulation; Power system reliability; Reliability; Bayesian method; Type-II doubly censored samples; m-consecutive-k-out-of-n: F system; reliability evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6002465
Filename
6002465
Link To Document