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Fault -Tolerant System Reliability Modeling /Analysis

Authors: C. MASRELIEZ; B. BJURMAN;

Fault -Tolerant System Reliability Modeling /Analysis

Abstract

A formulation of a reliability analysis approach for a redundant channel system was a primary task of the NASA-sponsored Airborne Advanced Reconfigurable Computer System (ARCS) study. Major design objectives for the ARCS were to achieve two-fail-operational capability for the majority of failures in a triplex system by degradation from triplex to duplex to simplex operation, and to provide transient fault survivability. This paper presents the Markov model technique used for the reliability assessment of the application model flight control system, including sensors, computer system, servos, and hydraulic power. The application model included a flyby-wire control wheel steering mode and an ail-weather autoland mode. Primary reliability parameters evaluated were functional survivability and functional readiness as a function of time since last verification of a fault-free system.

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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!
1
Average
Average
Average
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