Fraunhofer Institute for Casting, Composite and Processing Technology IGCV

output

20242026

most citedKnowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis

54 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

Rüdiger Daub3 profiles3 · h 2
Lukas Bahr2 · h 3
Andreas Gaugenrieder1 · h 0
Andreas Margraf1 · h 2
C. Wehner1 · h 5
Hari Hara Balasubramaniam1 · h 0
Henning Cui1 · h 3
Jannik Möhrle1 · h 0
Johannes C. Bauer1 · h 2
Jörg Hähner1 · h 3
José Bittencourt1 · h 0
Judith Wewerka1 · h 6

collaborating institutions

Technical University of MunichDE3 papers
BMW (Germany)DE1 paper
BMW Group (Germany)DE1 paper
Chemnitz University of TechnologyDE1 paper
École Nationale Supérieure des Mines de ParisFR1 paper
Fraunhofer Institute for Machine Tools and Forming TechnologyDE1 paper
Genertec Shenyang Machine Tool Co., Ltd. (China)CN1 paper
HTW Berlin - University of Applied SciencesDE1 paper
Leipzig UniversityDE1 paper
Leipzig University of Applied SciencesDE1 paper
Max Planck Institute for Human Cognitive and Brain SciencesDE1 paper
Université Paris Sciences et LettresFR1 paper

Showing cs.IRShow all

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cs.IR2024★ 54 cited

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…