Patent ID: 11436397

Abstract:
A computer-implemented method and an electronic device for detecting, in an electrical circuit with electrical components (Mg) subject to variations (δ) of their model parameters (xj), those components (Mg*) the model parameter variations (δ) of which have the strongest influence on a performance (yn) of the circuit, comprising: providing a topology (Q) of the circuit and the model parameters (xj) of all components (Mg) therein; determining, therefrom, topological patterns (Pk) of interconnected components (Mg); generating variation samples (vn), each comprising a different set of candidate variations (x′j) of the model parameters (xj); calculating, for each variation sample (vn), the circuit's performance (yn) and a deviation from a standard performance and forming a deviation vector (yD) therefrom; and using the variation samples (vn), the deviation vector (yD) and the topological patterns (Pk) in a regression model for detecting the most influential components (Mg*).