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Rapid Soft Fault Recovery

Authors: Richard Hess; Mahyar Malekpour;

Rapid Soft Fault Recovery

Abstract

<div class="htmlview paragraph">Empirical and analytic simulation studies of “rapid recovery” from soft faults have been activities, at the Langley Research Center (LaRC) at NASA, supporting the evolution of a systems integration facility where failure emulation testing could be performed (particularly on digital electronic technology-based systems). In the relatively recent past, the closed-loop performance of a Rapid Recoverable Computer (RRC) was studied. This computer, which hosted an autoland control law application program, together with a personal computer running a model (aero characteristics, sensors and actuators) of the B737 airplane, is identified as the Recoverable Computer System (RCS). The performance of the RCS rollback scheme for recovery from soft faults in ideal conditions, as well as in harsh Electromagnetic Environment (EME) conditions (possibly induced by lightning EME, etc.) was assessed. An RCS characterization study was performed using 1) an existing MATLAB SIMULINK model of the B737 autoland control law augmented with capability to simulate fault injection, as well as recovery methods, 2) a software package running on a PC to handle the communication of data and commands between the RCS and the flight simulation, and 3) empirical tests in the EME test facility.</div>

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
5
Average
Top 10%
Average
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