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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.8

FAIR Score

92%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

KU Leuven RDR

License

Creative Commons Attribution Share Alike 4.0 International

Assigned Domain

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

Normalization Factors

FT

73.08

CTw

1.00

MTw

1.00