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Document type:
Zeitschriftenaufsatz 
Author(s):
Trauer, Jakob; Pfingstl, Simon; Finsterer, Markus; Zimmermann, Markus 
Title:
Improving Production Efficiency with a Digital Twin Based on Anomaly Detection 
Abstract:
Industry 4.0, cyber-physical systems, and digital twins are generating ever more data. This opens new opportunities for companies, as they can monitor development and production processes, improve their products, and offer additional services. However, companies are often overwhelmed by Big Data, as they cannot handle its volume, velocity, and variety. Additionally, they mostly do not follow a strategy in the collection and usage of data, which leads to unexploited business potentials. This pape...    »
 
Keywords:
Digital Twin; anomaly detection; Industry 4.0; Gaussian processes; direct bar extrusion; aluminum extrusion; quality management 
Journal title:
Sustainability 
Year:
2021 
Journal volume:
13 
Year / month:
2021-09 
Quarter:
3. Quartal 
Month:
Sep 
Journal issue:
18 
Pages contribution:
10155 
Covered by:
Scopus; Web of Science 
Reviewed:
ja 
Language:
en 
Fulltext / DOI:
Publisher:
MDPI 
Publisher address:
Basel, Switzerland 
Semester:
SS 21 
CC license:
by, http://creativecommons.org/licenses/by/4.0