Supervised Anomaly Detection Model Collection Supervised Anomaly Detection Model Collection

Summary

Machine Learning and Deep Learning models to detect anomalies using time series data.

Supervised anomaly detection using ground truth quality data and manufacturing sensor data from extrusion and blow molding procedures.

Features have been weighted according to the expert knowledge provided by the pilot.

These models have been implemented in the context of the knowlEdge project and demonstrated for Kautex, a multi-industry company leader in designing and manufacturing plastic fuel systems for automobiles and light trucks, including blow molded solutions for conventional plastic fuel tanks and pressurized plastic fuel tanks for hybrid vehicle applications.

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ML model