Efficient impact load identification method using empirical mode decomposition
LIU Ling
YANG Xiaoming
ZHANG Li
Abstract：Aiming at the problems of traditional impact load identification methods,such as the requirement for a large number of sensors,high sampling frequency,and low identification accuracy,a new impact load identification method based on empirical mode decomposition(EMD)technology was proposed.The EMD technology was used to decompose the complete impact response to obtain the modal acceleration response.The impact location was quickly realized by measuring the collinearity between the uncorrected mode shape vector and the column vector of the mode shape matrix in the modal acceleration response.According to the positioning results,an optimization objective function was constructed.The time history of the impact load was fitted by using the Gaussian basis function,and the optimal fitting parameters were quickly solved by using the two-dimensional gradient descent method.Tests conducted on a cantilever plate with dimensions of 600 mm×200 mm×3 mm show that with only one accelerometer,the success rate of 36 impact positioning tests is 91.67%.The peak relative error and relative error index of the reconstruction results are less than 10%and 40%,respectively.
Keywords：Impact load identificationEmpirical mode decompositionModal acceleration responseUncorrected mode vectorBasis function fitting
Publication Date：2025-08-15
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：9( 82-90 )