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    On the three-state weather model of transmission line failures.

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    Publication date
    2007
    Author
    Csenki, Attila
    Keyword
    Transmission line reliability
    Markov system
    Weather modelling
    Random environment
    Common mode failure
    Kronecker matrix operations
    MAXIMA
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    Recent 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.
    URI
    http://hdl.handle.net/10454/3393
    Version
    No full-text available in the repository
    Citation
    Csenki, 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.
    Link to publisher’s version
    http://dx.doi.org/10.1243/1748006XJRR63
    Type
    Article
    Collections
    Engineering and Informatics Publications

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