Pattern Recognition of Aircraft Fatigue Cracking Based on Waveform Analysis Method and Artificial Neural Networks of Acoustic Emission Signals

In this paper, SOM neural network was used to identify the AE waveform signals of aircraft fatigue test. A group of suspected crack signals were acquired. Their characteristics were obtained. Three peaks appear simultaneously in frequency spectrum. Their energies were relatively large and located at same frequency. The frequency of third peak(168.5 kHz) was consistent with previous result(175.8 kHz), and already showed obvious characteristics of crack signal.