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dc.contributor.authorCsenki, Attila*
dc.date.accessioned2009-09-08T07:25:44Z
dc.date.available2009-09-08T07:25:44Z
dc.date.issued2007
dc.identifier.citationCsenki, A. (2007). On the three-state weather model of transmission line failures. Proceedings of the Institution of Mechanical Engineers. Part O: Journal of Risk and Reliability. Vol. 221, No. 3, pp. 217-228.
dc.identifier.urihttp://hdl.handle.net/10454/3393
dc.descriptionNo
dc.description.abstractRecent work by Billinton et al. has highlighted the importance of employing more than one adverse weather state when modelling transmission line failures by Markov processes. In the present work the structure of the modelling Markov process is identified, allowing the rate matrix to be written in a closed form using Kronecker matrix operations. This approach allows larger models to be handled safely and with ease. The MAXIMA implementation of two asymptotic reliability indices for such systems is addressed, exemplifying the combination of symbolic and numerical steps, perhaps not seen in this context before. It is also indicated how the three-state weather model can be extended to a multi-state model, while retaining the scope of the proposed closed-form expression for the rate matrix. Some possible future work is discussed.
dc.language.isoenen
dc.subjectTransmission line reliability
dc.subjectMarkov system
dc.subjectWeather modelling
dc.subjectRandom environment
dc.subjectCommon mode failure
dc.subjectKronecker matrix operations
dc.subjectMAXIMA
dc.titleOn the three-state weather model of transmission line failures.
dc.status.refereedYes
dc.typeArticle
dc.type.versionNo full-text in the repository
dc.identifier.doihttps://doi.org/10.1243/1748006XJRR63
dc.openaccess.statusclosedAccess


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