Use of Sobol indexes for efficient parameter estimation in a charge transport model
I. Alhossen, Fulbert Baudoin, Florian Bugarin, Stephane Segonds, G. Teyssèdre
Abstract
I. Alhossen, Fulbert Baudoin, Florian Bugarin, Stephane Segonds, G. Teyssèdre
Abstract
This article reports on a parameter sensitivity analysis on a mathematical model for the charge transport in dielectrics, using the Sobol sensitivity method. The main point of the work is to perform a sensitivity analysis under the variation of the impacting experimental factors such as the temperature, the applied electric field, and the charging time. Useful indications were obtained on which variables contribute the most to the variability of the output and which variables can be neglected. A quantitative assistance is derived from these results. Indeed, this study helps in revealing the experimental conditions where the model becomes sensitive to particular variables. Then, the sensitivity analysis results are used to determine the best starting points for optimization process in order to precisely and rapidly estimate each model parameter.
OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This article reports on a parameter sensitivity analysis on a mathematical model for the charge transport in dielectrics, using the Sobol sensitivity method. The main point of the work is to perform a sensitivity analysis under the variation of the impacting experimental factors such as the temperature, the applied electric field, and the charging time. Useful indications were obtained on which variables contribute the most to the variability of the output and which variables can be neglected. A quantitative assistance is derived from these results. Indeed, this study helps in revealing the experimental conditions where the model becomes sensitive to particular variables. Then, the sensitivity analysis results are used to determine the best starting points for optimization process in order to precisely and rapidly estimate each model parameter.
Key concepts: Sobol sequence, Sensitivity (control systems), Point (geometry), Point estimation, Charge (physics), Process (computing), Work (physics), Computer science