Functional Modelling for Fault Diagnosis and its application for NPP.

Morten Lind, Xinxin Zhang

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    Abstract

    The paper presents functional modelling and its application for diagnosis in nuclear power plants.Functional modelling is defined and it is relevance for coping with the complexity of diagnosis in large scale systems like nuclear plants is explained. The diagnosis task is analyzed and it is demonstrated that the levels of abstraction in models for diagnosis must reflect plant knowledge about goals and functions which is represented in functional modelling.Multi level flow modeling (MFM), which is a method for functional modeling,is introduced briefly and illustrated with a cooling system example. The use of MFM for reasoning about causes and consequences is explained in detail and demonstrated using the reasoning tool the MFM Suite. MFM applications in nuclear power systems are described by two examples a PWR and a FBRreactor. The PWR example show how MFM can be used to model and reason about operating modes. The FBR example illustrates how the modeling development effort can be managed by proper strategies including decomposition and reuse.
    Original languageEnglish
    JournalNuclear Engineering and Technology
    Volume46
    Issue number6
    Number of pages30
    ISSN1738-5733
    Publication statusPublished - 2014

    Keywords

    • Fault Diagnosis
    • Model Based Reasoning
    • Artificial Intelligence
    • Decision support

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