Efficient Estimation of Crosstalk Statistics in Random Wire Bundles With Lacing Cords

Performance Comparison of the SGM and the SCM in EMC Simulation

“…If the heights of the two conductors are uncertain, and the height of the radiating conductor 1 h obeys uniform distribution U[0.04,0.05]m while the height of the disturbed conductor 2 h obeys uniform distribution , two random variables can be used to model the randomness in height:…”

“…Uncertainty inevitably arises from realistic non-ideality and unpredictability such as tolerances in dimensions, variations in geometry, material defects, and so forth. In order to analyze the effects of uncertainty, many uncertainty analysis methods have been presented in recently studies [1][2][3].…”

“…Among these analysis approaches, the Monte Carlo Method (MCM) is conventionally the first choice for EMC simulations [1,2]. In MCM, the uncertainty parameters are sampled according to their distributions, consequently a huge number of simulations need to be performed until the final simulation Manuscript received XX X, 201X; revised XX X, 201X; accepted XX X, 201X.…”

“…MCM has been proved quite accurate for EMC simulations in existing literatures [1,2], however at the cost of low computational efficiency. Anyway, thanks to its high accuracy, MCM can be used as the reference for evaluating the performance of other uncertainty analysis methods in terms of precision.…”

Analysis and Efficient Estimation of Random Wire Bundles Excited by Plane-Wave Fields

“…Ciccolella and Canavero used the Monte Carlo method to describe the geometry and the multiconductor transmission line theory to predict the crosstalk of a random cable [14]. After 2000, more and more study has been done on this topic and different models and methods have been proposed [15][16][17][18][19][20]. However, these researches are mainly focused on the crosstalk variation due to the random wire positions, but without consideration of external fields.…”