A model-based degign and application method of verifying technical publications in flight test

2021 ◽  
Author(s):  
F. Li
Keyword(s):  
Flight Test ◽  
Application Method ◽  
Model Based

Identification of a Cessna Citation II Model Based on Flight Test Data

2017 ◽  
pp. 259-277 ◽  
Author(s):  
M. A. van den Hoek ◽  
C. C. de Visser ◽  
D. M. Pool
Keyword(s):  
Test Data ◽  
Flight Test ◽  
Model Based

scholarly journals A study on MBSE(Model-Based Systems Engineering) application method for concept design of submarine

2013 ◽  
Vol 9 (2) ◽  
pp. 7-14
Author(s):  
Jeong-Hoon Bae ◽  
Byung-Mok Kim ◽  
Mi-Hee Kim ◽  
Sung-Chul Shin ◽  
Soo-Young Kim ◽  
...  
Keyword(s):  
Systems Engineering ◽  
Engineering Application ◽  
Concept Design ◽  
Application Method ◽  
Model Based ◽  
Model Based Systems Engineering

scholarly journals Validation and Update of an Aeroservoelastic Model based on Flight Test Data

2021 ◽  
Author(s):  
Matthias Wustenhagen ◽  
Ozge Suelozgen ◽  
Lukas Ackermann ◽  
Julius Bartasevicius
Keyword(s):  
Test Data ◽  
Flight Test ◽  
Model Based

F-22/F119 Propulsion System Ground and Flight Test Analysis Using Modeling and Simulation Techniques

2002 ◽  
Author(s):  
Donald J. Malloy ◽  
Allan T. Webb ◽  
David S. Kidman
Keyword(s):  
Modeling And Simulation ◽  
Process Model ◽  
Flight Test ◽  
Component Level ◽  
Test Analysis ◽  
Model Based ◽  
Simulation Techniques ◽  
Level Model ◽  
Development Center

This paper describes the teaming strategy between the U. S. Air Force’s two major propulsion test centers, Arnold Engineering Development Center (AEDC) and the Air Force Flight Test Center (AFFTC), to employ new modeling and simulation (M&S) techniques to reduce test cost and cycle time. With the long-term goal of developing joint ground/flight modeling and simulation capabilities, AEDC and AFFTC have teamed to apply these data analysis tools to two major propulsion flight test programs, the F-22 and the Joint Strike Fighter (JSF). The emphasis of this paper is on the development and application of a non-linear aerothermodynamic component-level model that serves as the basis for the model-based analysis and fault identification process. Model-to-data comparisons and model-based fault detection and analysis results for F-22/F119 propulsion ground and flight test are also presented for a variety of flight conditions.

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