Case study investigating the application of neural networks for process modelling and condition monitoring

B. Lennox, P. Rutherford, G. A. Montague, C. Haughin

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This paper presents two practical applications where artificial neural networks have been used tosolve difficult process engineering problems. Firstly, the ability of artificial neural networks to provide an accurate process model of a vitrification process is demonstrated on real-process data. Vitrification is a process that encapsulates highly active liquid waste in glass to provide a safe and convenient method of storage. The second application again employs artificial neutral networks, but this time they are applied in a novel way in which they are used to capture non-linear system characteristics and then recalled to provide a means of detecting imminent failure to a vessel used in the same vitrification process.
    Original languageEnglish
    Pages (from-to)1573-1479
    Number of pages94
    JournalComputers and Chemical Engineering
    Volume22
    Issue number11
    DOIs
    Publication statusPublished - 15 Oct 1998

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