16-Dec-2022 Tabular Data https://fordatis.fraunhofer.de/handle/fordatis/300
http://dx.doi.org/10.24406/fordatis/236

MillingVibes: 3-Axial Vibration Data of a Milling Process Performed by a Tooling Machine

Milling of Aluminium at a MAHO MH 800C Tooling Machine

Langer, Tim Hauke (Fraunhofer-Institut für Integrierte Schaltungen IIS, Institutsteil Entwicklung Adaptiver Systeme EAS); Widra, Matthias (Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU)

IIS Fraunhofer-Institut für Integrierte Schaltungen
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FileDescriptionSizeFormat 
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 MBZIPDownload/Open

Abstract

This 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.

Technical Information

Tooling Machine: MAHO MH 800C with spindle: Siemens WEISS ECS 2SP1

Vibration Sensor: enDAQ S5-E25D40 (sampled @ 8 kHz)

Milling Tool: milling cutter with carbide milling inserts (SOET 083604 PDER)

Material: Aluminium (EN AW 7075)
Classification
670 Industrielle Fertigung
004 Datenverarbeitung; Informatik
005 Computerprogrammierung, Programme, Daten
Keywords
Dataset
Machine Learning
Artificial Intelligence
Tooling Machine
Milling
Process Monitoring
Process Quality
Industrial
Vibration
Sensor
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
Fraunhofer Group
Mikroelektronik
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