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    Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells

    Access Status
    Fulltext not available
    Authors
    Periasamy, Vijay
    Tade, Moses
    Shao, Zongping
    Date
    2019
    Type
    Journal Article
    
    Metadata
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    Citation
    Vijay, P. and Tadé, M.O. and Shao, Z. 2019. Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells. Journal of Process Control. 84: pp. 101-114.
    Source Title
    Journal of Process Control
    DOI
    10.1016/j.jprocont.2019.09.010
    ISSN
    0959-1524
    Faculty
    Faculty of Science and Engineering
    School
    WASM: Minerals, Energy and Chemical Engineering
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP150104365
    URI
    http://hdl.handle.net/20.500.11937/79346
    Collection
    • Curtin Research Publications
    Abstract

    © 2019 Elesevier

    Monitoring and fault diagnosis can play a major role in improving the reliability of Solid Oxide Fuel Cell (SOFC) systems. Due to complex interactions between the variables, quantitative model based methods are suitable for SOFC fault diagnosis. In this work, a fault diagnosis strategy based on a non-linear observer based approach is proposed for the SOFC. Two nonlinear adaptive observers are designed based on the concepts of input-to-state stability of cascaded systems, each sensitive to different faults affecting the SOFC. Simultaneous application of these two observers allows the unique identification and diagnosis of all the common faults in the SOFC. This unique approach of multiple nonlinear adaptive observers for SOFC fault diagnosis can improve fault resolution and has applicability over wide operating ranges.

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