Ore Type based Expert Systems in Mineral Processing Plants

S-L. Jämsä-Jounela, Sampsa Laine, Eeva Ruokonen

    Research output: Contribution to journalArticleScientificpeer-review

    20 Citations (Scopus)
    179 Downloads (Pure)

    Abstract

    Artificial intelligence (AI) includes excellent tools for the control and supervision of industrial processes. Several thousand industrial applications have been reported worldwide. Recently, the designers of the AI systems have begun to hybridize the intelligent techniques, expert systems, fuzzy logic and neural networks, to enhance the capability of the AI systems. Expert systems have proved to be ideal candidates especially for the control of mineral processes. An expert system based on on-line classification of the ore type has been developed.

    Self-organizing maps (SOM) are used for pattern recognition of the type of feed. The system has been tested in two concentrators, the Outokumpu Finnmines Oy, Hitura Mine and Outokumpu Chrome Oy, Kemi Mine. The methodology for the development of the ore type based expert system is presented and the preliminary results obtained in the above plants are described.
    Original languageEnglish
    Pages (from-to)200-207
    JournalParticle & Particle Systems Characterization
    Issue number15
    Publication statusPublished - 1998
    MoE publication typeA1 Journal article-refereed

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