Multifidelity DDDAS Methods with Application to a Self-aware Aerospace Vehicle-Reference-Cited by-同舟云学术

Multifidelity DDDAS Methods with Application to a Self-aware Aerospace Vehicle

Published:2014 Issue: Volume:29 Page:1182-1192
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Allaire D.,Kordonowy D.,Lecerf M.,Mainini L.,Willcox K.

Publisher

Elsevier BV

Subject

General Engineering

Reference15 articles.

1. S. Willis, OLM: A hands-on approach, in: 25th ICAF Symposium, no. May, Rotterdam, pp. 1199-1214.

2. E. M. Ortiz, G.J. Clark, H. Hall, M.M. Arita, J.L. Vian, Multi source data integration for aircraft health management, in: Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems, 2007.

3. B. Glass, Integrated system vehicle health management (ISVHM) architecture design: ISHM impact study and architecture design, AFRL-RB-WP-TR-2008-3148.

4. A. Srivastava, R. Mah, M. Claudia, Integrated vehicle health management, Technical Plan, Version 2.03, NASA Aeronautics Research Mission Directorate Aviation Safety Program (2009).

5. E. Glaessgen, D. Stargel, The Digital Twin paradigm for future NASA and US Air Force vehicles, AIAA Special Report, NTIS N (2012).

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. From Data to Decisions: A Real-Time Measurement–Inversion–Prediction–Steering Framework for Hazardous Events and Health Monitoring;Handbook of Dynamic Data Driven Applications Systems;2023

2. The Dynamic Data Driven Applications Systems (DDDAS) Paradigm and Emerging Directions;Handbook of Dynamic Data Driven Applications Systems;2023

3. Introduction;Multi-fidelity Surrogates;2022-11-08

4. A dynamic data-driven response prediction method for thermal protection tiles and experimental validation;Applied Thermal Engineering;2022-10

5. Energy Efficiency;2022 IEEE Future Networks World Forum (FNWF);2022-10