Paper Info
Title
Simulation inferences for an availability system with general repair distribution and imperfect fault coverage
Abstract
We study the statistical inferences of an availability system with imperfect coverage. The system consists of two active components and one warm standby. The time-to-failure and time-to-repair of the components are assumed to follow an exponential and a general distribution respectively. The coverage factors for an active-component failure and for a standby-component failure are assumed to be the same. We construct a consistent and asymptotically normal estimator of availability for such repairable system. Based on this estimator, interval estimation and testing hypothesis are performed. To implement the simulation inference for the system availability, we adopt two repair-time distributions, namely, lognormal and Weibull and three types of Weibull distributions characterized by their shape parameters are considered. Finally, all simulation results are displayed in appropriate tables and curves for highlighting the performance of the statistical inference procedures.
Year
DOI
Venue
2010
10.1016/j.simpat.2009.12.001
Simulation Modelling Practice and Theory
Keywords
Field
DocType
Availability,Distribution-free,Imperfect coverage,Hypothesis test,Power function,Simulation,Standby
Interval estimation,Fault coverage,Computer science,Inference,Weibull distribution,Statistical inference,Log-normal distribution,Statistics,Statistical hypothesis testing,Estimator
Journal
Volume
Issue
ISSN
18
3
1569-190X
Citations 
PageRank 
References 
12
0.59
7
Authors
4
Name
Order
Citations
PageRank
Jau-Chuan Ke134844.17
Zheng-Long Su2120.59
Kuo-Hsiung Wang321525.34
y l hsu4516.71