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Figures 13 and 14 show examples of the detected signal of each region shown in Figure 12 and its FFT, its WT result and WMFD in order to compare the frequency components of the signals for each sensor.
Figure 15 shows the examples of the detected signal by the sensor within each region of the test and its FFT, its WT result and WMFD. From the observation results of the WT and WMFD, it is clear that only near 250 kHz which is the resonant frequency of the sensor is detected.
(3) By using WT, it became possible to discriminate the differences of each fracture mode, in which it is difficult to discriminate the mode with the WMFD. One is the discrimination between the fiber breaking and the fast crack propagation, and the other is the discrimination between the fiber pullout and the slow crack propagation.
The feature extraction in each stage was tried by considering the results of the WMFD graphs, the behavior of the fractal dimension m on the time fluctuation of wavelet coefficient and Table 1.
the WMFD graphs and the behavior of the fractal dimension m) and the fatigue damage %.
Early stage: From the result of the WMFD graph, it is clear that the activities of the frequency components 150, 250 and 300 kHz are high.
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- WMF file