54 citations · 58 across the 4 of their papers we have counts for
4 papers
Sensitivity analysis of image classification models using generalized polynomial chaos
Lukas Bahr, Lucas Poßner, Konstantin Weise +2
Integrating advanced communication protocols in production has accelerated the adoption of data-driven predictive quality methods, notably machine learning (ML) models. However, ML…
Anwendung von Causal-Discovery-Algorithmen zur Root-Cause-Analyse in der Fahrzeugmontage
Lucas Possner, Lukas Bahr, Leonard Roehl +2
Root Cause Analysis (RCA) is a quality management method that aims to systematically investigate and identify the cause-and-effect relationships of problems and their underlying ca…
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis
Lukas Bahr, Christoph Wehner, Judith Wewerka +3
Failure mode and effects analysis (FMEA) is an essential tool for mitigating potential failures, particularly during the ramp-up phases of new products. However, its effectiveness…
Towards gain tuning for numerical KKL observers
Mona Buisson-Fenet, Lukas Bahr, Valery Morgenthaler +1
This paper presents a first step towards tuning observers for general nonlinear systems. Relying on recent results around Kazantzis-Kravaris/Luenberger (KKL) observers, we propose…