A MODEL FOR ACOUSTIC-EMISSION SIGNALS AND BURST OCCURRENCE ESTIMATION

One of the main problems in acoustic emission analysis is the estimati on of the time of occurrence and amplitude of bursts. Different method s were used, some of them based on a dynamic model of the signal and K alman filtering techniques as estimators, other based on digital proce ssing techniques as windowed Fourier transform or wavelet transforms. A new model of acoustic emission signals and an algorithm for estimati ng but-st occurrence are described. The method is extended to the more general case where the bursts present more than one fundamental frequ ency. Results obtained are shown.