BREAK PREVENTION WITH APPLIED ARTIFICIAL INTELLIGENCE, 2021 TAPPICon Live (21TAPL)



In this paper we describe the application of artificial intelligence to prevent events of so called sheet breaks. In contrast to the usual approach, which gives a single overall break risk including a possible root cause, we use unsupervised categorization of event types to find a segmentation of sheet breaks into different classes. Furthermore, we describe how to create a warning system which gives a risk signal for each type and automatically triggers the appropriate countermeasures. 

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Author: Matthias W. Schmitt and Kevin Whitfield
BREAK PREVENTION WITH APPLIED ARTIFICIAL INTELLIGENCE, 2021
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