Abstract

The problem of impact damage detection in composite structures using piezoceramic sensors is addressed. Piezoceramic sensors are bonded on the composite specimen and used in a passive mode to acquire the strain data from dropweight impact tests. The paper is focused on the comparative study of various signal processing techniques which can extract features related to different impact energy levels associated with different types of damage. The analysis includes time, frequency and wavelet domain features. The results show the potential of the methods fo impact damage identification.

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