Fault Detection for Shipboard Monitoring – Volterra Kernel and Hammerstein Model Approaches

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    Abstract

    In this paper nonlinear fault detection for in-service monitoring and decision support systems for ships will be presented. The ship is described as a nonlinear system, and the stochastic wave elevation and the associated ship responses are conveniently modelled in frequency domain. The transformation from time domain to frequency domain has been conducted by use of Volterra theory. The paper takes as an example fault detection of a containership on which a decision support system has been installed.
    Original languageEnglish
    Title of host publication7. IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
    Publication date2009
    Pages24-29
    ISBN (Print)978-3-902661-46-3
    DOIs
    Publication statusPublished - 2009
    Event7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes - Barcelona, Spain
    Duration: 30 Jun 20093 Jul 2009
    Conference number: 7
    http://safeprocess09.upc.es/

    Conference

    Conference7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
    Number7
    Country/TerritorySpain
    CityBarcelona
    Period30/06/200903/07/2009
    Internet address

    Keywords

    • Sensor and actuator faults
    • Nonlinear methods
    • Marine applications

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