Global sensitivity analysis for dynamic systems with stochastic input processes

作者: Jiaokun Cao , Farong Du , Shuiting Ding

DOI: 10.1016/J.RESS.2013.04.016

关键词:

摘要: Abstract Dynamic systems with stochastic input processes are general engineering models. In order to apply the global sensitivity analysis on these aid safety design, variance based indices extended in this paper. Factor and time defined describe contributions of factor variances whole a specific output at current time, respectively. Analytical expressions for linear time-invariant Gaussian derived due extensive use them, including continuous-time discrete-time systems. Monte Carlo simulation is used verify analytical expressions. The could be directly practical applications reduce computation cost. have been discussed examples, which include transient temperature measurements forced vibration system. Some design measures aided by also two examples.

参考文章(33)
Andrea Saltelli, Marco Ratto, Terry Andres, Francesca Campolongo, Jessica Cariboni, Debora Gatelli, Michaela Saisana, Stefano Tarantola, Global Sensitivity Analysis: The Primer ,(2008)
William Tyrrell Thomson, Theory of vibration with applications ,(1965)
Donald G. Childers, Scott L. Miller, Probability and Random Processes : With Applications to Signal Processing and Communications Elsevier Academic Press. ,(2012)
Benjamin C. Kuo, Automatic Control Systems ,(1962)
Ming Xu, Tao Chen, Xianhui Yang, The effect of parameter uncertainty on achieved safety integrity of safety system Reliability Engineering & System Safety. ,vol. 99, pp. 15- 23 ,(2012) , 10.1016/J.RESS.2011.10.015
Jijun Lin, Olivier de Weck, David MacGowan, Modeling epistemic subsurface reservoir uncertainty using a reverse Wiener jump–diffusion process Journal of Petroleum Science and Engineering. pp. 8- 19 ,(2012) , 10.1016/J.PETROL.2012.01.015