Efficient global sensitivity analysis method for models of systems with functional outputs

作者: Leszek J. Opalski

DOI: 10.1109/ECCTD.2015.7300048

关键词:

摘要: A Global Sensitivity Analysis procedure is presented to efficiently rank influence strength of model parameters upon the functional outputs. modified Morris one-at-a-time algorithm used for parameter sampling. Simulated responses are transformed into global sensitivity functions using response discretization and a scalar Index. Two indices tried — reference mean absolute value elementary effects an alternative index proposed here. Finally, aggregated measures formed, suitable ranking parameters. The two variants total based method compared circuit infra-red photo-detector front end. Accuracy advantage performance shown.

参考文章(20)
Katherine Campbell, Michael D. McKay, Brian J. Williams, Sensitivity analysis when model outputs are functions Reliability Engineering & System Safety. ,vol. 91, pp. 1468- 1472 ,(2006) , 10.1016/J.RESS.2005.11.049
Oscar Garcia-Cabrejo, Albert Valocchi, Global Sensitivity Analysis for multivariate output using Polynomial Chaos Expansion Reliability Engineering & System Safety. ,vol. 126, pp. 25- 36 ,(2014) , 10.1016/J.RESS.2014.01.005
Katarzyna Opalska, Lumped circuit model of RF amplifier for SPICE simulator Symposium on Photonics Applications in Astronomy, Communications, Industry and High-Energy Physics Experiments. ,vol. 9290, pp. 929033- ,(2014) , 10.1117/12.2075021
Genyuan Li, Herschel Rabitz, General formulation of HDMR component functions with independent and correlated variables Journal of Mathematical Chemistry. ,vol. 50, pp. 99- 130 ,(2012) , 10.1007/S10910-011-9898-0
Leszek J. Opalski, Variability-based global sensitivity analysis of circuit response Symposium on Photonics Applications in Astronomy, Communications, Industry and High-Energy Physics Experiments. ,vol. 9290, pp. 929035- ,(2014) , 10.1117/12.2075203
Marco Ratto, Andrea Pagano, Peter Young, State Dependent Parameter metamodelling and sensitivity analysis Computer Physics Communications. ,vol. 177, pp. 863- 876 ,(2007) , 10.1016/J.CPC.2007.07.011
Max D. Morris, Factorial sampling plans for preliminary computational experiments Technometrics. ,vol. 33, pp. 161- 174 ,(1991) , 10.2307/1269043
Matieyendou Lamboni, Hervé Monod, David Makowski, Multivariate sensitivity analysis to measure global contribution of input factors in dynamic models Reliability Engineering & System Safety. ,vol. 96, pp. 450- 459 ,(2011) , 10.1016/J.RESS.2010.12.002
Toshimitsu Homma, Andrea Saltelli, Importance measures in global sensitivity analysis of nonlinear models Reliability Engineering & System Safety. ,vol. 52, pp. 1- 17 ,(1996) , 10.1016/0951-8320(96)00002-6
Andrea Saltelli, Making best use of model evaluations to compute sensitivity indices Computer Physics Communications. ,vol. 145, pp. 280- 297 ,(2002) , 10.1016/S0010-4655(02)00280-1