Exploring channels for anomaly detection in additive manufacturing Exploring channels for anomaly detection in additive manufacturing Supervisor(s): Nikolai Puch Status: inprogress Topic: Anomaly Detection Author: Petar Zoric Submission: 2022-10-17 Type of Thesis: Masterthesis Thesis topic in co-operation with the Fraunhofer Institute for Applied and Integrated Security AISEC, Garching Description