Fault diagnosis system for the variable volume pressure filter

Sirkka-Liisa Jämsä-Jounela, T. Kuitunen, C. Quiroz, Jerri Kämpe

    Research output: Contribution to journalConference articleScientificpeer-review

    Abstract

    The degree of automation in process equipment is constantly increasing. In order to be competitive, process equipment manufacturers need to utilize the process knowledge embedded in the hardware solution. An advanced fault detection and diagnosis system for process equipment can yield economical benefits by mmimizing downtime and service costs. Using models and heuristic knowledge fault diagnosis can advance beyond the conventional level of detecting faults after they occur. This paper presents the fault diagnosis module of the intelligent control system for a variable volume pressure filter. The remote support module currently being designed is described, as well as the rule-based inference engine.
    Original languageEnglish
    Pages (from-to)437-442
    JournalIFAC PROCEEDINGS VOLUMES
    Volume33
    Issue number22
    DOIs
    Publication statusPublished - 2000
    MoE publication typeA4 Article in a conference publication
    EventIFAC Workshop on Future Trends in Automation of the Mineral and Metal Processing - Espoo, Finland
    Duration: 22 Aug 200024 Aug 2000

    Keywords

    • fault daignosis
    • filtration
    • inference-engine
    • remote support

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