Modelling soft error probability in firmware : a case study

dc.contributor.authorKourie, Derrick G.
dc.contributor.emaildkourie@cs.up.ac.zaen_US
dc.date.accessioned2012-08-30T10:23:56Z
dc.date.available2012-08-30T10:23:56Z
dc.date.issued2012
dc.description.abstractThis case study involves an analysis of rmware that controls explosions in mining operations. The purpose is to estimate the probability that external disruptive events (such as electro- magnetic interference) could drive the rmware into a state which results in an unintended explosion. Two probabilistic models are built, based on two possible types of disruptive events: a single spike of interference, and a burst of multiple spikes of interference. The models suggest that the system conforms to the IEC 61508 Safety Integrity Levels, even under very conservative assumptions of operation. The case study serves as a platform for future researchers to build on when modelling probabilistic soft errors in other contexts.en_US
dc.description.urihttp://www.orssa.org.za/en_US
dc.identifier.citationKourie, DG 2012, 'Modelling soft error probability in firmware : a case study', ORION, vol. 28, no. 1, pp. 19-35.en_US
dc.identifier.issn0529-191X
dc.identifier.urihttp://hdl.handle.net/2263/19674
dc.language.isoenen_US
dc.publisherOperations Research Society of SAen_US
dc.rights© 2012 Operations Research Society of SAen_US
dc.subjectMining industryen_US
dc.subjectProbabilityen_US
dc.subjectSoft errorsen_US
dc.subjectSafety integrity levelen_US
dc.titleModelling soft error probability in firmware : a case studyen_US
dc.typeArticleen_US

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