Version 1.0
Replication Data for: MATWI: A Multimodal Automatic Tool Wear Inspection dataset
De Pauw, Lars;Jacobs, Tom;Goedemé, Toon
Description
MATWI, a new publicly available multimodal dataset for automatic tool wear inspection containing both images and captured sensor data during CNC milling processes. This dataset contains 17 tools ran to failure with 100 measurements over the lifespan, resulting in a large and unique dataset for tool wear estimation. It is also the first dataset that combines accelerometer, microphone and force measurements with image data captured along the tool life.
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Metrics Over Time
Publication Details
DOI
Publisher
KU Leuven RDR
Subfield
Software
Field
Computer Science
Domain
Physical Sciences
Confidence Score
55%
Source
Scholar Data Model
Keywords
Computer engineering, information technology and mathematical engineeringEngineering and technologyFOS: Engineering and technologyMechanical and manufacturing engineeringOther engineering and technologyTool WearTime seriesMultimodalMachining