Acoustic Emission Simulation for Online Impact Detection

C. Yang, M. A. Torres-Arredondo, and C.-P. Fritzen
Institute of Mechanics and Control Engineering
University of Siegen
Siegen, Germany

Impact monitoring has been extensively studied by several researchers and it has been shown that damage extent can be correlated with the impact magnitude. In order to make the process cost-effective, simulation of the impact has been performed, to get the big training data set from modeling.

The structural dynamic responses captured by PZT transducers due to impact events are recorded from each impact simulation. The discrete wavelet transform and nonlinear principal component analysis are evaluated for signal filtration, feature extraction and data compression of the time histories respectively.