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Python Interface for LMAS Tool Wear Data

This repository contains the tool wear data used in our paper "A Generalized Method for Featurization of Manufacturing Signals, with Application to Tool Condition Monitoring"

Data

The time series audio data for each tool is in data/Audio Data.

The time series acceleration data for each tool is in data/Vibration Data.

Metadata for each tool, including the tool wear and tool cut type is at data/Metadata.

All files without a file extension are plain text (space separated)

Usage

Each file in the root directory can be used to fit a set of models or plot a set of graphs.

To plot data for a particular tool (tool 12 in this case):

python plot.py 12

To plot the Power Spectral Density for a particular tool:

 python psd.py 12

To plot wear-vs-time for each tool:

 python wear.py 12

Notebook

We also provide some simple tools for reading and pre-processing the data.

cd notebooks
jupyter visualization.ipynb

Known issues

  • Some data seems to be missing from metadata18.csv

License

MIT