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    S.R. CWA 17492:2020

    Current The latest, up-to-date edition.

    Predictive control and maintenance of data intensive industrial processes

    Available format(s):  Hardcopy, PDF

    Language(s):  English

    Published date:  16-02-2020

    Publisher:  National Standards Authority of Ireland

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    Table of Contents - (Show below) - (Hide below)

    European foreword
    Introduction
    1 Scope
    2 Machine/Deep learning for data-intensive industrial process
    3 Example of application – Anode quality prediction for aluminium production
    4 Example of application – Prediction of breakdowns in industrial equipment
    Bibliography

    Abstract - (Show below) - (Hide below)

    This document contains a methodology detailing the machine/deep learning techniques that should be employed, through the different steps to be followed, with the aim to predict industrial processes or equipment drifts and trigger alarms and potentially help to improve overall equipment effectiveness or the workshop performances.

    General Product Information - (Show below) - (Hide below)

    Document Type Standard Recommendation
    Product Note The date of any NSAI previous adoption may not match the date of its original CEN/CENELEC document. THIS STANDARD IS IDENTICAL TO CWA 17492:2020
    Publisher National Standards Authority of Ireland
    Status Current
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