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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    Title :

    Ultrasonic Flowmeter Diagnosis by Classification


    Contributors:


    Publication date :

    2019-07-01


    Size :

    817263 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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