Lean Data in Manufacturing Systems : Using Artificial Intelligence for Decentralized Data Reduction and Information Extraction

Titelangaben

Küfner, Thomas ; Uhlemann, Thomas H.-J. ; Ziegler, Bastian:
Lean Data in Manufacturing Systems : Using Artificial Intelligence for Decentralized Data Reduction and Information Extraction.
2018
Veranstaltung: 51st CIRP Conference on Manufacturing Systems , 16.-18.05.2018 , Stockholm, Schweden.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung , Paper )
DOI: https://doi.org/10.1016/j.procir.2018.03.125

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Abstract

In the course of digitization, a drastically increased amount of acquired data in production systems can be observed. Nevertheless, only a minor part of the acquired data is practically used for near real-time analysis and optimization within production systems.
This paper introduces a concept for the realization of a decentralized data analysis integration. Therefore, an analysis system using artificial neural networks is
conducted at the measurement point in the main supply of a production plant, to classify different operating states. The classification accuracy in all evaluation models is at least 99.82% and proves that it is capable to recognize the operating states of a production machinery reliably. The
significantly, without loss of information, reduced amount of data is handed over to a superordinate instance of the production system for further use of data.