Skip to main content
GitHub

3D Printer Fault Detection (IoT Sensors)

Industrial IoT & Predictive Maintenance Industrial IoT
314 views
1 min read
License
Catalog metadata: This page is a discovery record, not publisher documentation. Verify the description, schema, provenance, version, licence, and citation at the linked source before use.

Catalog Summary

"Sensor logs (accelerometer, temperature) from a 3D printer capturing normal operation vs. various failure modes like nozzle clogging."

Catalog Notes

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_SecAcc_XAcc_YAcc_ZTemp_NozzleLabel
0.010.04-0.121.02200.5Normal
0.020.05-0.111.01200.4Normal

Showing first few rows for preview

Cite This Catalog Record

IoTDataset.com (2026). 3D Printer Fault Detection (IoT Sensors) — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/3d-printer-fault-detection-iot

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 12, 2026

Review the Source Record

Confirm the licence, version, access conditions, file format, and provenance at the source before use.

Open Source Page

Related Topics & Keywords

Browse all Industrial IoT & Predictive Maintenance datasets

Share This Research

More in Industrial IoT & Predictive Maintenance

View All
Industrial IoT Zenodo

Electric Motor Vibrations Dataset — Labeled Motor States [35.1 MB]

Electric-motor vibration sensor dataset from the CHIST-ERA SOON project. ZIP format, 35.1 MB, with labeled functioning states for ML predictive-maintenance experiments.

Jun 06, 2026
Industrial IoT Zenodo

I-BiDaaS CRF SCADA Dataset — Automotive Welding-Line Sensors [3.9 GB]

SCADA sensor dataset from automotive welding sub-assembly lines with 147 sensors. 3.9 GB 7z archive for anomaly thresholds and predictive maintenance analysis.

Jun 06, 2026
Industrial IoT University

CWRU Bearing Fault Dataset — 2HP Motor Vibration, 4 Fault Diameters [12k & 48k Hz]

Benchmark bearing vibration dataset from Case Western Reserve University with drive-end and fan-end faults at 4 severity levels. Sampled at 12 kHz and 48 kHz. MATLAB MAT and CSV formats. Used for fault diagnosis and vibration-based condition monitoring.

Apr 10, 2026
Industrial IoT Zenodo

Huawei Elevator Predictive Maintenance Dataset — IoT Door Sensors [453.9 kB]

Anonymized elevator-door IoT sensor time series from Huawei Munich Research Center. ZIP format, 453.9 kB, sampled at 4 Hz for predictive maintenance of elevator doors.

Jun 06, 2026
Industrial IoT Zenodo

VBL-VA001 — Lab-Scale Machine Vibration Fault Dataset [3.8 GB]

Lab-scale vibration dataset with 4,000 CSV files for normal, bearing fault, misalignment, and unbalance states. 3.8 GB ZIP for predictive-maintenance classification.

Jun 06, 2026
Industrial IoT Zenodo

Ball Bearing Vibration Metrics — Operational States Dataset [752.6 kB]

Labeled CSV dataset of ball-bearing vibration metrics captured every two minutes with an IFM VVB001 sensor. 752.6 kB for multi-class predictive-maintenance modeling.

Jun 06, 2026

Explore other topics

All topics →