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CONTEXT: An Industry 4.0 Dataset of Contextual Faults in a Smart Factory by Lukas Kaupp; Heiko Webert; Kawa Nazemi; Bernhard Humm; Stephan Simons is a Computer Science article available to read on EtoBox.

What is CONTEXT: An Industry 4.0 Dataset of Contextual Faults in a Smart Factory about?

Cyber-physical systems in smart factories get more and more integrated and interconnected. Industry 4.0 accelerates this trend even further. Through the broad interconnectivity a new class of faults arise, the contextual faults, where contextual knowledge is needed to find the underlying reason. Fully-automated systems and the production line in a smart factory form a complex environment making the fault diagnosis non-trivial. Along with a dataset, we give a first definition of contextual faults in the smart factory and name initial use cases. Additionally, the dataset encompasses all the data recorded in a current state-of-the-art smart factory. We also add additional information measured by our developed sensing units to enrich the smart factory data even further. In the end, we show a first approach to detect the contextual faults in a manual preliminary analysis of the recorded log data.

Who reads CONTEXT: An Industry 4.0 Dataset of Contextual Faults in a Smart Factory?

Author

Lukas Kaupp; Heiko Webert; Kawa Nazemi; Bernhard Humm; Stephan Simons

Publisher

Elsevier BV

Published

2021

Language

EN

Field

Computer Science (Physical Sciences)