02 - Systems Engineering and Integration
REQUIREMENTS UNCERTAINTY PROPAGATION IN CONCEPTUAL DESIGN USING BAYESIAN NETWORKS
A. Spinelli¹, A. Sharma, Centre for Aeronautics, Cranfield University, United Kingdom; T. Kipouros¹; ¹Centre for Propulsion and Thermal Power, Cranfield University, United Kingdom
This paper presents the application of a Bayesian Network as a tool for propagating the uncertainty between the aircraft-level design and the component-level design. The framework is applied to an example case in UAV design for payload transport. By querying the model, we demonstrate its ability to capture the casual relationships of the design problem and propagating the effects of design decisions on other parameters.