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 :
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