Title :
Parametric sensitivity analysis: a tool for robust design
Author :
Van Voorhees, F. David ; Bahill, A.Terry
Author_Institution :
Hughes Missile Syst Co., Tucson, AZ, USA
Abstract :
Experimental design, or DoE, is offered as an empirical method of sensitivity analysis. In particular, the use of uncontrollable factors and second-order effect estimates are suggested to ensure robustness of the system to parametric uncertainty. An augmentation to Yates algorithm (1937) for 3k factorial designs is described
Keywords :
design of experiments; sensitivity analysis; 3k factorial designs; experimental design; parametric sensitivity analysis; parametric uncertainty; robust design tool; second-order effect estimates; uncontrollable factors; Control system analysis; Control systems; Design engineering; Design for experiments; Robustness; Sensitivity analysis; System analysis and design; Systems engineering and theory; US Department of Energy; Uncertainty;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.537894
