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Sensitivity in Weibull System Reliability Models

Authors: J.A. Nachlas; S.S. Gruber; H.Z. Wiesel;

Sensitivity in Weibull System Reliability Models

Abstract

Sensitivity of a Weibull distribution based model of complex-system reliability is investigated analytically and numerically. The complex system modeled is a central processing unit product. The types of sensitivity examined are that of the reliability model to erroneous parameter estimates, to improvements or degradations in component performance, and to variations in equipment utilization. In each case, the focus is upon the early life of the equipment. It is found that only the equipment utilization variations produce substantial model sensitivity.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
Average
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