Yannick Wilhelm

Y. Wilhelm, P. Reimann, W. Gauchel & B. Mitschang, "Hybrid Approaches to Fault Detection and Diagnosis: Combining Data-driven Models with Knowledge-driven Models",14th CIRP Conference on Intelligent Computation in Manufacturing Engineering (ICME), 2020

Y. Wilhelm, U. Schreier, P. Reimann, B. Mitschang & A. Ziekow, "Data Science Approaches to Quality Control in Manufacturing: A Review of Problems, Challenges and Architecture", 14th Symposium and Summer School On Service-Oriented Computing (SummerSOC), 2020

Open Projects

• Master Thesis: Hybrid Fault Diagnosis and Fault Correction for Servopneumatic Welding Guns
• Further topics in the fields of Data Analytics, Bayesian Networks, Deep Learning, Decision Fusion and Knowledge Representation on request

Completed Student Projects

• Practical Course: Mixed-Reality for Fault Correction in Manufacturing, University of Stuttgart, 2021
• Master Thesis: Visualization of a Bayesian Network and Integration of User Feedback for Decision Support in Manufacturing, University of Stuttgart, 2021
• Master Thesis: Knowledge Representation and Automated Reasoning with Semantic Web Technologies for Decision Support in Manufacturing, University of Stuttgart, 2021
• Master Thesis: Decision Fusion Framework for the Combination of Multiple Fault Diagnosis Methods, University of Stuttgart, 2021
• Practical Course Master: Browser-based Visualization of Manufacturing Data, University of Stuttgart, 2020
• Master Thesis: Data-Driven Anomaly Detection for servopneumatic Welding Guns in Car Body Manufacturing, University of Stuttgart, 2020
• Master Thesis: Knowledge Representation and Automated Reasoning for Decision support on Fault Correction in Manufacutring, University of Stuttgart, 2020
• Bachelor Thesis: Development of an Advanced Technology for Analysis and Quality Assurance of Industrial Assembly Processes, Peter the Great St. Petersburg Polytechnic University, Institute of Computer Science and Technology, 2020
• Fachstudie Bachelor: Identifikation von ähnlichen Einträgen in digitalen Logbüchern der Instandhaltung, University of Stuttgart, 2019