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Interactive Wiki for Special-purpose Machines

Authors:
Thomas Herpich
Valentin Plenk

Keywords: Human Machine Interfaces; User Assistance Systems; Special-purpose Machines

Abstract:
Machines in processing plants are frequently generating failures that must be manually fixed by the operators. Machines often lack advanced assistance systems for to address these failure cases. While some new developments try to use only machine data, in many applications, the human knowledge of the operators can be very useful. In this paper, we propose a new assistance system used to merge machine data with the operator’s knowledge. This system is tested with an industry partner. The test results are used to create design considerations, compare different reasoning algorithms, and check the influence on the machine downtime.

Pages: 23 to 27

Copyright: Copyright (c) IARIA, 2020

Publication date: October 18, 2020

Published in: conference

ISSN: 2308-3492

ISBN: 978-1-61208-829-7

Location: Porto, Portugal

Dates: from October 18, 2020 to October 22, 2020