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  • Low-frequency acoustic resonance level detector with neural-network classification
    Đonlagić, Denis ; Završnik, Miha, 1971- ; Đonlagić, Dali
    This work presents a new level-detection method. It is based on the acoustic resonance of a waveguide. This method can be successfully implemented for fluid-level detection in industrial plants, ... where problems of residues, deposits, foams, etc., can be expected. The performance of the detector is additionaly improved by the use of neural networks. Neural networks enable the detector to learn from the reference detection cycles; therefore, such a system is flexible and can be easily optimized (trained) for specific operating conditions. The detector has been tested in a highly viscous medium, Styrofoam granulate and under artificially induced residues and deposits in the resonance waveguide.
    Vir: Sensors and actuators. A, Physical. - ISSN 0924-4247 (55, 1996, str. 99-106)
    Vrsta gradiva - članek, sestavni del
    Leto - 1996
    Jezik - angleški
    COBISS.SI-ID - 2475542

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