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DC ElementWertSprache
dc.contributor.advisorBeyer, Volkhard-
dc.contributor.authorLanger, Tim Hauke-
dc.contributor.authorWidra, Matthias-
dc.date.accessioned2022-12-08T11:31:44Z-
dc.date.available2022-12-08T11:31:44Z-
dc.date.issued2022-12-16-
dc.identifier.urihttps://fordatis.fraunhofer.de/handle/fordatis/300-
dc.identifier.urihttp://dx.doi.org/10.24406/fordatis/236-
dc.description.abstractThis dataset contains 3-axial vibration data of an aluminium milling process recorded at a large industrial tooling machine (MAHO MH 800C). The data has been recorded by an enDAQ S5-E25D40 vibration sensor module. Each datapoint consists of 8000 samples (duration: 1 second) for 3-axial vibration data along x, y & z axis of the tooling machine. Each datapoint represents a segment of a 1-axial milling movement (+/-x, +/-y). The data is to be used for the investigation of process quality monitoring, therefore each signal segment has been assigned a label "1" (good) or "0" (bad). The label was given to all movements of a (partial) pattern by a domain expert, depending on the surface quality of the workpiece after milling.en
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectDataseten
dc.subjectMachine Learningen
dc.subjectArtificial Intelligenceen
dc.subjectTooling Machineen
dc.subjectMillingen
dc.subjectProcess Monitoringen
dc.subjectProcess Qualityen
dc.subjectIndustrialen
dc.subjectVibrationen
dc.subjectSensoren
dc.subject.ddcDDC::600 Technik, Medizin, angewandte Wissenschaften::670 Industrielle Fertigung::670 Industrielle Fertigungen
dc.subject.ddcDDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatiken
dc.subject.ddcDDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::005 Computerprogrammierung, Programme, Datenen
dc.titleMillingVibes: 3-Axial Vibration Data of a Milling Process Performed by a Tooling Machineen
dc.title.alternativeMilling of Aluminium at a MAHO MH 800C Tooling Machineen
dc.typeTabular Dataen
dc.contributor.funderBundesministerium für Bildung und Forschung BMBF (Deutschland)en
dc.description.technicalinformationTooling Machine: MAHO MH 800C with spindle: Siemens WEISS ECS 2SP1en
dc.description.technicalinformationVibration Sensor: enDAQ S5-E25D40 (sampled @ 8 kHz)en
dc.description.technicalinformationMilling Tool: milling cutter with carbide milling inserts (SOET 083604 PDER)en
dc.description.technicalinformationMaterial: Aluminium (EN AW 7075)en
fordatis.groupMikroelektroniken
fordatis.instituteIIS Fraunhofer-Institut für Integrierte Schaltungenen
fordatis.project.fhgid40-01422-2740-00003en
fordatis.project.fhgid10-08258-2740-00023en
fordatis.rawdatatrueen
fordatis.date.start2022-07-12-
fordatis.date.end2022-07-13-
fordatis.embargo.contactInfoTim.Langer@posteo.deen
Enthalten in den Sammlungen:IIS Fraunhofer-Institut für Integrierte Schaltungen - Institutsteil Entwicklung Adaptiver Systeme EAS

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MillingVibes_Dataset.zipThis dataset contains 3-axial vibration data of an aluminium milling process recorded at a large industrial tooling machine (MAHO MH 800C). The data has been recorded by an enDAQ S5-E25D40 vibration sensor module. Each datapoint consists of 8000 samples (duration: 1 second) for 3-axial vibration data along x, y & z axis of the tooling machine. Each datapoint represents a segment of a 1-axial milling movement (+/-x, +/-y). The data is to be used for the investigation of process quality monitoring, therefore each signal segment has been assigned a label "1" (good) or "0" (bad). The label was given to all movements of a (partial) pattern by a domain expert, depending on the surface quality of the workpiece after milling.58,04 MBZIPÖffnen/Download


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