Tool Chain to Extract and Contextualize Process Data for AI Applications-Reference-Cited by-同舟云学术

Tool Chain to Extract and Contextualize Process Data for AI Applications

Published:2023-04-21 Issue:7 Volume:95 Page:1070-1076
ISSN:0009-286X
Container-title:Chemie Ingenieur Technik
language:en
Short-container-title:Chemie Ingenieur Technik

Author:

Sherpa Lincoln¹,Müller-Pfefferkorn Ralph¹,Enste Udo²,Tolksdorf Gregor³,Kawohl Michael³,Wiedau Michael³^ORCID

Affiliation:

1. Technische Universität Dresden Centre for Information Services and High Performance Computing Chemnitzer Straße 46b 01187 Dresden Germany

2. LeiKon GmbH Kaiserstraße 100 52134 Herzogenrath Germany

3. Evonik Operations GmbH Paul-Baumann-Straße 1 45772 Marl Germany

Abstract

AbstractSummarizing a key use case of a research workstream of the German publicly funded KEEN project, methods and tool chains are demonstrated to extract and to contextualize process data in an automated way based on engineering information. The contextualized process data serves as a high‐quality data source for machine learning methods. The article covers the applied basic methodical approaches, design decisions and the results of a successful pilot installation of the developed tool chain.

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cite.202300004

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