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    A Markovian approach for modelling the effects of maintenance on downtime and failure risk of wind turbine components

    Access Status
    Fulltext not available
    Authors
    Ossai, C.
    Boswell, Brian
    Davies, Ian
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Ossai, C. and Boswell, B. and Davies, I. 2016. A Markovian approach for modelling the effects of maintenance on downtime and failure risk of wind turbine components. Renewable Energy. 96: pp. 775-783.
    Source Title
    Renewable Energy
    DOI
    10.1016/j.renene.2016.05.022
    ISSN
    0960-1481
    School
    Department of Mechanical Engineering
    URI
    http://hdl.handle.net/20.500.11937/58240
    Collection
    • Curtin Research Publications
    Abstract

    © 2016 Elsevier Ltd.For effective and efficient performance of wind turbines, components and systems should perform at a low risk with minimal downtime. To establish the impacts of wind turbine components maintenance on downtime and failure risks, a six state Markov model was developed using the failure rates and downtimes information. The transition and maintenance rates at the lifecycle phases (introduction, maturity, ageing and terminal) together with those at maintenance and failure phases were determined using a calibrated survivability index whilst the transition rate probabilities were used in modelling the performance and failure risks probabilities at different maintenance intervals. The model was tested using failure rates and downtime information of wind turbine components obtained from literature and the results indicates that the model has practical applications for managing wind turbines.

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