External
Industrial IoT: Milling Machine Predictive Maintenance
Abstract
"Vibration and wear data from industrial milling machines. Used to predict tool failure before it happens (Prognostic Data)."
Description
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 Dataset
External (2026). Industrial IoT: Milling Machine Predictive Maintenance. [Dataset]. External. https://www.kaggle.com/datasets/vinayak123tyagi/milling-data-set-prognostic-data
Source: External (2026)
Indexed by IoTDataset.com on Jan 08, 2026
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