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    Fuzzy logic approach in power transformers management and decision making

    Access Status
    Fulltext not available
    Authors
    Arshad, M.
    Islam, Syed
    Khaliq, A.
    Date
    2014
    Type
    Journal Article
    
    Metadata
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    Citation
    Arshad, M. and Islam, S. and Khaliq, A. 2014. Fuzzy logic approach in power transformers management and decision making. IEEE Transactions on Dielectrics and Electrical Insulation. 21 (5): pp. 2343-2354.
    Source Title
    IEEE Transactions on Dielectrics and Electrical Insulation
    DOI
    10.1109/TDEI.2014.003859
    ISSN
    1070-9878
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/6146
    Collection
    • Curtin Research Publications
    Abstract

    The degradation of insulation systems is a complex physical process, many parameters act at the same time thus making the interpretation extremely difficult. The insulation is very much responsive in transformer serving closer to design life. Strategic maintenance and operational procedures are best formulated where the condition of existing unit has been accurately assessed. To facilitate asset management and decision making, asset's condition assessment is vital using reliable, non-intrusive diagnostics and monitoring tools together with expert system. Transformer assessment can be carried out effectively by identifying and integrating its criticalities using fuzzy logic technique. In this research, asset management and decision making model has been developed using diagnostics and data interpretation techniques based on fuzzy logic approach. Enhance reliability could be achieved by integrating real time condition monitoring, maintenance, management activities and cost effective optimization techniques. This model facilitates effectively to address criticalities and allow better planning, maintenance approach as well as to predict the remnant life of the asset within a practical accuracy.

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