Statistical estimation of the difference of two time-histories

Author: Guy Nusholtz—FCA US LLC

Abstract

There are many methods to determine and characterize the relative differences of two-time histories, test to test, model to test, or comparing two different systems like different vehicle responses or different dummy responses. This short communication presents a method for comparison of two-time histories (model and the average of two or more tests) using a method that estimates the minimum differences of two-time histories. The method uses: magnitude, shape, phase, and Global coefficient of variance (GCV). The comparison of the two signals is done using GCV and/ or a derivative of GCV (G-R^2) and the three values, magnitude shape and phase is used to understand the characteristics of the difference.

Type: Short Communication

© Stapp Association, 2023

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