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

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

Anomaly detection is becoming increasingly important to enhance reliability and resiliency in the Industry 4.0 framework. In this work, we investigate different methods for anomaly detection on in-production manufacturing machines taking into account their variability, both in operation and in wear...

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Bibliographic Details
Main Authors: Federico Pittino, Michael Puggl, Thomas Moldaschl, Christina Hirschl
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
anomaly detection
statistical machine learning
in-production data
Online Access:https://www.mdpi.com/1424-8220/20/8/2344

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