DocumentCode
1251840
Title
How does our n-component system perform?
Author
Finkelstein, Maxim S.
Author_Institution
Dept. of Math. Stat., Univ. of the Orange Free State, Bloemfontein, South Africa
Volume
50
Issue
4
fYear
2001
fDate
12/1/2001 12:00:00 AM
Firstpage
414
Lastpage
418
Abstract
The statistical (black box) remaining lifetime of some simple coherent systems is stochastically compared with the remaining lifetime based on the information at hand. Parallel and cold standby systems of s-identical components with exponentially distributed lifetimes are considered. Information-based remaining lifetime is defined via the number of the nonfailed components at the moment of observation. The main question to answer is: Given the information on the current state of the system, is the remaining lifetime better (worse) in some stochastic sense than the remaining lifetime that is defined by the black box remaining lifetime? The result of this comparison for the general case depends on the time of observation and the time since observation. Several simple examples have been considered, because it is rather difficult technically to treat the stated problem in a greater generality. The main common feature of these examples, describing systems of s-identical components is the monotonically increasing system hazard-rate. An example with a nonmonotone hazard rate for a system of two different components has also been studied
Keywords
failure analysis; reliability theory; statistical analysis; stochastic processes; black box remaining lifetime; component reliability; exponentially distributed lifetimes; monotonically increasing system hazard-rate; n-component system performance; observation; remaining lifetime; s-identical components; simple coherent systems; standby systems; statistical remaining lifetime; stochastic ordering; Africa; Distribution functions; Hazards; Helium; Information analysis; Inspection; Statistics; Stochastic processes; Stochastic systems;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/24.983404
Filename
983404
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