Operation Cycle Optimization of the Larox Pressure Filter

Sirkka-Liisa Jämsä-Jounela, Mikko Vermasvuori, Jerri Kämpe, Kari Koskela

    Research output: Contribution to journalConference articleScientificpeer-review

    Abstract

    Artificial intelligence methods such as expert systems, fuzzy systems, neural networks and combinations of these, have become invaluable tools in helping operators to monitor and control processes. These methods can also be used to run processes in a more economically effective way and, in the case of equipment malfunction, they can propose appropriate corrective measures. In this paper a system for operation cycle optimisation of the Larox pressure filter is presented and some test results are discussed.
    Original languageEnglish
    Pages (from-to)55-60
    JournalIFAC PROCEEDINGS VOLUMES
    Volume37
    Issue number5
    DOIs
    Publication statusPublished - 2004
    MoE publication typeA4 Article in a conference publication
    EventIFAC Symposium on Cost Oriented Automation - Gatineau, Canada
    Duration: 6 Jun 20049 Jun 2004
    Conference number: 7

    Keywords

    • operator support system, pressure filtering

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