Fachbereich 9


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  • Stahmann, P.; Oodes, J.; Rieger, B. (2022): Improving Machine Self-Diagnosis with an Instance-Based Selector for Real-Time Anomaly Detection Algorithms. 8th International Conference on Decision Support System Technology 2022. Decision Support addressing modern Industry, Business and Societal needs, Lecture Notes in Business Information Processing (LNBIP), Vol. 415.
  • Stahmann, P.; Rieger, B. (2022): Towards Design Principles for a Real-Time Anomaly Detection Algorithm Benchmark Suited to Industrie 4.0 Streaming Data. 55th Hawaii International Conference on System Sciences 2022.


  • Stahmann, P.; Rieger, B. (2021): Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review. 54th Hawaii International Conference on System Sciences 2021.
  • Stahmann, P.; Krüger, A.; Rieger, B. (2021): Digital Twins for Real-time Data Analysis in Industrie 4.0: Pathways to Maturity. 2nd International Conference on Innovative Intelligent Industrial Production and Logistics 2021.


  • Horstkemper, D.; Stahmann, P.; Hellingrath, B. (2019): Assessing the Suitability of ArchiMate to Model Industry 4.0 Production Systems. 8th International Congress on Advanced Applied Informatics 2019.