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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/2337

Title: State-based modelling in hazard identification
Authors: McCoy, Stephen A.
Zhou, Dingfeng
Chung, Paul Wai Hing
Keywords: model-based reasoning
qualitative modelling
batch HAZOP
Issue Date: 2006
Publisher: © Springer Verlag
Citation: MCCOY, ZHOU and CHUNG, 2006. State-based modelling in hazard identification. Applied intelligence, 24 (3), pp. 263-279
Abstract: The signed directed graph (SDG) is the most commonly used type of model for automated hazard identification in chemical plants. Although SDG models are efficient in simulating the plant, they have some weaknesses, which are discussed here in relation to typical process industry examples. Ways to tackle these problems are suggested, and the view is taken that a state-based formalism is needed, to take account of the discrete components in the system, their connection together, and their behaviour over time. A strong representation for operations and actions is also needed, to make the models appropriate for modelling batch processes. A research prototype for HAZOP studies on batch plants (CHECKOP) is also presented, as an illustration of the suggested approach to modelling.
Description: This article was published in the journal, Applied intelligence [© Springer Verlag] and is also available at: http://springerlink.metapress.com/content/1573-7497/
URI: https://dspace.lboro.ac.uk/2134/2337
ISSN: 0924-669X
Appears in Collections:Published Articles (Computer Science)

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