Data Mining on Sensor Data of Automated Processes (B03)

• Subject Area: Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing ; Production Automation and Assembly Technology
• Term: from 2011 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 124020371

Quality prediction on products reduces production costs caused by internal failure costs in case of realtime operation. Such a prediction is based on sensor data achieved at different process stations. Especially in interlinked processes the decision and resulting choice of actions frequently have to be determined within a few seconds. Subproject B3 is focused on the investigation of how distributed data mining can be used for realtime quality predictions and how it can be integrated into production processes.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 876: Providing Information by Resource-Constrained Data Analysis
• Applicant Institution: Technische Universität Dortmund
• Project Heads: Professor Dr.-Ing. Jochen Deuse; Professorin Dr. Katharina Morik; Professorin Dr.-Ing. Petra Wiederkehr