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dc.contributor.authorAli, Muhammad*
dc.contributor.authorCheng, Yongqiang*
dc.contributor.authorLi, Jian-Ping*
dc.contributor.authorHu, Yim Fun*
dc.contributor.authorPillai, Prashant*
dc.contributor.authorPillai, Anju*
dc.contributor.authorXu, Kai J.*
dc.date.accessioned2016-10-07T14:25:01Z
dc.date.available2016-10-07T14:25:01Z
dc.date.issued2013
dc.identifier.citationAli M, Cheng Y, Li JP et al (2013) Sandra fault analysis and simulation. In: Integrated Communications, Navigation and Surveillance Conference, ICNS 2013. 22-25 Apr 2013. Herndon, VA, USA. IEEE: 1-8.
dc.identifier.urihttp://hdl.handle.net/10454/9600
dc.descriptionNo
dc.descriptionFault management is one of the important management functions of a telecommunication network and mainly deals with fault monitoring and diagnosis. This paper applies reliability theories and methodologies for the fault management of an aeronautical communication system developed within the EU FP7 SANDRA project. The failure of the SANDRA terminal demonstrator is an undesirable event and the corresponding fault tree was built upon a reliability function analysis and was used to quickly monitor failures in the system. By using Monte Carlo simulations, the SANDRA demonstrator's reliability can be predicted and important components, which have major contributions to system failures, can be identified. The results can be used to improve the system reliability by adding parallel components in weak and important places.
dc.description.abstractFault management is one of the important management functions of a telecommunication network and mainly deals with fault monitoring and diagnosis. This paper applies reliability theories and methodologies for the fault management of an aeronautical communication system developed within the EU FP7 SANDRA project. The failure of the SANDRA terminal demonstrator is an undesirable event and the corresponding fault tree was built upon a reliability function analysis and was used to quickly monitor failures in the system. By using Monte Carlo simulations, the SANDRA demonstrator's reliability can be predicted and important components, which have major contributions to system failures, can be identified. The results can be used to improve the system reliability by adding parallel components in weak and important places.
dc.relation.isreferencedbyhttp://dx.doi.org/10.1109/ICNSurv.2013.6548534
dc.subjectSystem fault analysis; Fault tree analysis; FTA; Aeronautical communication system; Fault diagnosis
dc.titleSandra fault analysis and simulation
dc.status.refereedYes
dc.typeConference Paper
dc.type.versionNo full-text available in the repository


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