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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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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

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.

DocumentType	Standard Recommendation
Pages	36
ProductNote	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
PublisherName	National Standards Authority of Ireland
Status	Current

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S.R. CWA 17492:2020

Predictive control and maintenance of data intensive industrial processes

Table of Contents

Abstract

General Product Information

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