Final goal of monitoring AE phenomena is to provide beneficial information to prevent fatal fracture, by correlating detected AE signals with growing fracture process or deterioration. AE activity is observed transiently or unexpectedly, and the signals generally contain higher frequency components over the audible range as well as a variety of durations. A signal triggering is conventionally made by setting threshold. In the case of trigger-monitoring, only the signals, of which amplitudes exceed the threshold levels, are recognized as AE signals. In the early age of AE measurement, the performance of transient waveform-recorders was so poor in the early age of AE monitoring as that parametric features of the waveforms were normally employed for evaluating AE characteristics. These are hit, amplitude, counts, duration and so forth.Currently, as rapid progress of computer technology, AE waveforms can be recorded readily as well as the parametric features. Thus, such waveform-based features as peak frequency and frequency centroid are additionally determined in real time from the fast Fourier transform (FFT) of recorded waveforms. AE parametric features are thus extracted and provide good information to correlate the failure behavior of materials.
Identification of AE SignalDifferent from detected waves in ultrasonic or vibration tests, AE signals emerge rapidly and randomly. As a result, the discrimination of AE signals from running waves is the first step for analyzing AE activity. To this end, the voltage threshold of AE wave, which is equivalent to a voltage level on an electronic comparator, is set. Then, the signals which exceed the vol-