Artificial neural networks for feature extraction from acoustic emission signals

摘要

The authors discuss the use of artificial neural network (ANN) techniques to carry out the task of feature classification of acoustic emission signals. A series of experiments aimed at determining the quality of feature extraction and the resulting ANN classifier performance have been performed. The performance assessment was based on the time required to train the network given the same training and testing input vectors set.