Copula-Based Multi-structure Damage Co-diagnosis and Prognosis for the Fleet Maintenance Digital Twin
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42515-8_95
Reference20 articles.
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2. Glaessgen, E., Stargel, D.: The digital twin paradigm for future NASA and U.S. air force vehicles. In: 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. American Institute of Aeronautics and Astronautics, Honolulu, Hawaii, p. 1818 (2012)
3. Li, C., Mahadevan, S., Ling, Y., et al.: Dynamic bayesian network for aircraft wing health monitoring digital twin. AIAA J. 55, 930–941 (2017). https://doi.org/10.2514/1.J055201
4. Sisson, W., Karve, P., Mahadevan, S.: Digital twin for component health- and stress-aware rotorcraft flight control. Struct. Multidisc. Optim. 65, 318 (2022). https://doi.org/10.1007/s00158-022-03413-8
5. Zhao, F., Zhou, X., Wang, C., et al.: Setting adaptive inspection intervals in helicopter components, based on a digital twin. AIAA J. 1–14 (2023).https://doi.org/10.2514/1.J062222
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