Impact localization for composite based on acoustic emission and neural networks

In order to improve accuracy and real-time of impact localization for composite,two-step method based on acoustic emission and neural networks is proposed and a real-time and on-line impact monitoring system for composite is developed by using piezoelectric transducers(PZT).The self-made signal collection system,instead of commercial acoustic emission instrument.Wavelet transformation is used to estimate time-delay of the impact source in the origin propagateing to several transducers.Arrival-time of other impact sources between several transducers is corrected by the time-delay.Combining the corrected arrival-time and four-point arc localization,impact source coordinates are calculated.The calculated coordinates are used as input of neural networks,the trained neural networks can determine accurately position of impact source.Experiments on laminated composite indicate that the present methodology may identify impact location fast and accurately.