Evaluation of intelligent systems for the utilisation of HAZOP analysis results

Perttu Heino, Kati Kupila, Kazuhiko Suzuki, Shintaro Shinohara, Jari Schabel

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    In every industry sector, companies need to find ways to operate profitably and safely. Risk management offers a way of combining profitability and responsibility. However, no industrial company can afford to spend extensive amounts of time and money on safety and reliability studies — the collection of data and the preparation of the relevant documents. Advanced information technology is needed to make the necessary information acquisitions and processing activities more efficient — and includes data collection systems, and model-based simulation and safety analysis systems. As described in this paper, part of the study focused on the evaluation of both an intelligent HAZOP system and a dynamic process simulator in order to know how the systems could support hazard studies.
    Original languageEnglish
    Title of host publicationDevelopments in Applied Artificial Intelligence
    EditorsPaul W.H. Chung, Chris Hinde, Moonis Ali
    PublisherSpringer
    Pages229-243
    ISBN (Electronic)978-3-540-45034-4
    ISBN (Print)978-3-540-40455-2
    DOIs
    Publication statusPublished - 2003
    MoE publication typeA4 Article in a conference publication
    Event16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003 - Loughborough, United Kingdom
    Duration: 23 Jun 200326 Jun 2003

    Publication series

    SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2718
    ISSN0302-9743

    Conference

    Conference16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003
    Country/TerritoryUnited Kingdom
    CityLoughborough
    Period23/06/0326/06/03

    Keywords

    • intelligent system
    • knowledge management
    • process safety
    • operator decision support

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