Modern ultrasonic flowmeters provide routine diagnostic information that may be used to infer their health. This inference task is modeled as a classification problem and studied experimentally using a publicly available dataset. A few classifiers, such as Bayesian Networks, provide good accuracy and also suggest relationships among the diagnostic variables.


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    Titel :

    Ultrasonic Flowmeter Diagnosis by Classification


    Beteiligte:


    Erscheinungsdatum :

    01.07.2019


    Format / Umfang :

    817263 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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