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IMAD-DS: Industrial Multi-Sensor Anomaly Detection Dataset

Sensor Networks & Telemetry IoT Sensors
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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

"IMAD-DS captures multi-rate, multi-sensor signals from scaled industrial machines, including a robotic arm and a brushless motor, for anomaly detection research."

Catalog Notes

Overview

Designed to reflect domain shifts in real industrial environments, this dataset includes normal and abnormal operating conditions under varying settings.

Technical Details

Includes analog microphone data (16 kHz), 3-axis accelerometer (6.7 kHz), and 3-axis gyroscope readings.

Collection Setup

Collected using the STEVAL-STWINBX1 IoT Sensor Industrial Node on scaled industrial equipment.

Recommended Research Tasks

Vibration analysis, acoustic anomaly detection, and sensor fusion for industrial monitoring.

Access & License

Available on Zenodo for open research. Access Dataset

View Data Structure

To explore column names, data types, and sample rows, visit the official dataset page on Kaggle.

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Cite This Dataset 

Augusti, F., Albertini, D., Esmer, K., Sannino, R., & Bernardini, A. (2024). IMAD-DS: A Dataset for Industrial Multi-Sensor Anomaly Detection Under Domain Shift Conditions. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.12665499

Source metadata: Zenodo (2024) · DOI: 10.5281/zenodo.12665499

Indexed by IoTDataset.com on Feb 05, 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

#IoT sensors #industrial IoT #anomaly detection #robotic arm #accelerometer #gyroscope #vibration analysis #acoustics
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