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AUTOMATED SOURCE IDENTIFICATION USING MODAL ACOUSTIC EMISSION

Liu Jing Chen Jimao * Steve Ziole ** (Capgold Development Inc., Beijing Office)  
Fatigue crack growth in a structure has become a concern to the prolonging of its lifetime. Modal acoustic emission (MAE) that uses the energy produced by the growing crack for detection without scanning has shown its conspicuous advantage. MAE can result in the capture of thousands of waveforms during a test, of which only a few will be the signals from crack growth. So several digital signal processing approaches for the signals are discussed and the application results of the routines are given.
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