TUdatalib : LoTuS Expertensystem

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dc.contributor.author	Elserafi, Ghada
dc.contributor.author	Fürst, Raoul
dc.contributor.author	Kleemann, Jonathan
dc.contributor.author	Öztas, Batuhan
dc.date.accessioned	2024-10-20T09:01:06Z
dc.date.available	2024-10-20T09:01:06Z
dc.date.issued	2024
dc.identifier.uri	https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4370
dc.description	The LoTuS research project has developed a pilot cleaning system as a research and demonstration facility. Accompanying this, the LoTuS Expert System ("LoTuS Expertensystem") has been created as an additional user interface, serving the following functions: - Machine operation in "research mode" with flexible process configuration - Configuration and control of an additional process regulation - Process monitoring using retrofitted measurement technology and energy monitoring. This dataset includes the the code for the main functions of the expert system, as well as the training data and validation results of the individual tools developed for monitoring and controlling the drying process.	de_DE
dc.language.iso	en	de_DE
dc.rights	Creative Commons Attribution 4.0
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	Parts cleaning	de_DE
dc.subject	Parts drying	de_DE
dc.subject	Virtual sensor	de_DE
dc.subject	Expert system	de_DE
dc.subject	Computer vision	de_DE
dc.subject	Thermography	de_DE
dc.subject	Fuzzy logic control	de_DE
dc.subject	Machine learning	de_DE
dc.subject.classification	4.11-06 Produktionsautomatisierung und Montagetechnik	de_DE
dc.subject.ddc	670
dc.title	LoTuS Expertensystem	de_DE
dc.type	Dataset	de_DE
dc.type	Software	de_DE
dc.type	Image	de_DE
dc.type	Model	de_DE
dc.type	Other	de_DE
tud.unit	TUDa
tud.history.classification	Version=2020-2024;401-06 Produktionsautomatisierung