Information Interfaces for Process Plant Diagnosis

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    The paper describes a systematic approach to the design of information interfaces for operator support in diagnosing complex systems faults. The need of interpreting primary measured plant variables within the framework of different system representations organized into an abstraction hierarchy is identified from an analysis of the problem of diagnosing complex systems. A formalized approach to the modelling of production systems, called Multilevel Flow Modelling, is described. A MFM model specifies plant control requirements and the associated need for plant information and provide a consistent context for the interpretation of real time plant signals in diagnosis of malfunctions. The use of MFM models as a basis for functional design of the plant instrumentation
    system is outlined, and the use of Knowledge Based (Expert) Systems for the design of man-machine interfaces is mentioned. Such systems would allow an active user participation in diagnosis and thus provide the basis for cooperative
    problem solving.
    Original languageEnglish
    Place of PublicationRoskilde
    PublisherDanmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi
    Number of pages34
    ISBN (Print)87-550-0982-4
    Publication statusPublished - 1984

    Bibliographical note

    Presented at the conference on Data Communication in Distributed Systems, organised by the Danish Automation Society, November 2-3, 1983.


    • Risø-M-2417
    • Control systems
    • Diagnosis
    • Flow models
    • Human factors
    • Industrial plants
    • Information
    • Interfaces
    • Man-machine systems
    • Nuclear power plants

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