Dieses Bild zeigtGiuseppe Mannone

Giuseppe Mannone

Herr M.Sc.

Akad. Mitarbeiter
Institut für Maschinenelemente
Zuverlässigkeitstechnik

Kontakt

+49 711 685 69962
 +49 711 685 66319
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Pfaffenwaldring 9
70569 Stuttgart
Deutschland
Raum: 2.139

  1. 2026

    1. Mannone, Giuseppe; Fischer, Paula; Dazer, Martin: Learning the Language of Vibration: A Self-Supervised Transformer Foundation Model for PHM. In: PHM Society European Conference 9(1), S. 1–15, Oslo, Norway, 2026. — ISBN 978-1-936263-44-8 — (peer-review)
    2. Mannone, Giuseppe; Herrmann, Tim; Dazer, Martin: Gated Residual End-of-Life Prediction for Variable-Prefix RUL in the PHME2026 Data Challenge. In: PHM Society European Conference 9(1), S. 1–10, Oslo, Norway, 2026. — ISBN 978-1-936263-44-8 — (peer-review)

  2. 2025

    1. Mannone, Giuseppe; Hintz, Kim D.; Dazer, Martin: Generative Twins: A Deep Learning Approach to Next-Gen Digital Twins. In: , 2025

  3. 2024

    1. Efinger, Dshamil; Mannone, Giuseppe; Dazer, Martin: Applying Prognostics and Health Management to Optimize Safety and Sustainability at the First Adaptive High-Rise Structure. In: PHM Society European Conference 8(1), S. 12, 2024 — (peer-review)

Anwendung von Machine Learning in der Zuverlässigkeitstechnik

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