Abstract
"Sensor logs (accelerometer, temperature) from a 3D printer capturing normal operation vs. various failure modes like nozzle clogging."
Description
Dataset Summary
Data collected from an Ultimaker 3D printer equipped with IoT sensors to detect failures in real-time.
Sensors
- Accelerometer: Attached to the print head (X, Y, Z vibration).
- Temperature: Nozzle and Bed temperature readings.
Fault Types
Includes labeled data for: Layer shifting, Nozzle clogging, and Filament runout.
Data Preview
| Time_Sec | Acc_X | Acc_Y | Acc_Z | Temp_Nozzle | Label |
|---|---|---|---|---|---|
| 0.01 | 0.04 | -0.12 | 1.02 | 200.5 | Normal |
| 0.02 | 0.05 | -0.11 | 1.01 | 200.4 | Normal |
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Cite This Dataset
GitHub (2026). 3D Printer Fault Detection (IoT Sensors). [Dataset]. GitHub. https://github.com/topics/3d-printing-data
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Original source: GitHub (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 12, 2026
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