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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

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Automatic Anomaly Detection on In-Production Manufacturing Machines Using Statistical Learning Methods.

Federico Pittino¹, Michael Puggl², Thomas Moldaschl¹

¹Silicon Austria Labs GmbH, Villach A-9524, Austria.

Sensors (Basel, Switzerland)

|April 25, 2020

Summary

Anomaly detection is crucial for Industry 4.0. This study develops robust, automatic methods for detecting anomalies in manufacturing machines, achieving high recall without constant recalibration.

Failed At:

2026-06-19T13:38:32.680225+00:00

Keywords:

anomaly detection in-production data statistical machine learning

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