DocumentCode :
326868
Title :
Inequality-based reliability estimates for complex systems
Author :
Hill, Stacy D. ; Spall, James C.
Author_Institution :
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
Volume :
2
fYear :
1998
fDate :
21-26 Jun 1998
Firstpage :
1177
Abstract :
Full-system testing for large-scale systems is often infeasible or very costly. Thus, when estimating system reliability, it is desirable to employ a method that uses subsystem tests, which are often less expensive and more feasible. This paper presents a method for calculating full-system reliability based on subsystem tests. The method does not require that subsystems be independent. It accounts for dependencies through use of certain probability inequalities. The inequalities provide the basis for valid reliability calculations while not requiring full-system tests or information on greater-than-pairwise subsystem failure modes. We illustrate the method in an example
Keywords :
estimation theory; failure analysis; fault diagnosis; large-scale systems; least mean squares methods; probability; reliability theory; testing; complex systems; failure modes; fault detection; full-system reliability; large-scale systems; least squares; probability inequality; subsystem tests; Fault detection; Least squares approximation; Least squares methods; Mean square error methods; Reliability; System identification; System testing; Uncertainty; Upper bound; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
ISSN :
0743-1619
Print_ISBN :
0-7803-4530-4
Type :
conf
DOI :
10.1109/ACC.1998.703598
Filename :
703598
Link To Document :
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