Industrial IoT: Milling Machine Predictive Maintenance
Catalog Summary
"Vibration and wear data from industrial milling machines. Used to predict tool failure before it happens (Prognostic Data)."
Catalog Notes
Overview
This dataset from the NASA Prognostics Center of Excellence allows for the study of tool wear in milling operations.
Columns:
- case: Case run number.
- run: Counter for files.
- VB: Flank wear (Target Variable).
- time: Duration of the cut.
- DOC: Depth of cut.
- feed: Feed rate.
- material: Material type.
Data Preview
| case | run | VB | time | DOC | feed | material |
|---|---|---|---|---|---|---|
| 1 | 1 | 0.00 | 2 | 1.5 | 0.5 | 1 |
| 1 | 2 | nan | 4 | 1.5 | 0.5 | 1 |
| 1 | 3 | nan | 6 | 1.5 | 0.5 | 1 |
| 1 | 4 | 0.11 | 7 | 1.5 | 0.5 | 1 |
| 1 | 5 | nan | 11 | 1.5 | 0.5 | 1 |
Showing first few rows for preview
Cite This Catalog Record
IoTDataset.com (2026). Industrial IoT: Milling Machine Predictive Maintenance — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/iiot-milling-machine-maintenance
The publisher's preferred dataset citation is not recorded. The text above cites this IoTDataset.com catalog record, not the underlying dataset.
Catalog publisher: IoTDataset.com (2026)
Indexed by IoTDataset.com on Jan 08, 2026
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