Application of improved ensemble empirical mode decomposition method in ultrasonic testing

摘要

The common defect types and signal characteristics of the steel pipe are introduced, the time-frequency analysis is applied to the signal, experiment results are consistence with simulation results. Inner burr model is constructed to analysis the signal characteristic of various burrs. The ensemble empirical mode decomposition (EEMD) method and wavelet packet analysis are used for the adaptive decomposition and reconstruction of the defect signal, and suppressing the noise signal[1]. Simulation analyze the decomposing effect of the EEMD method to the defect signal so that verify the feasibility and effectiveness of the method.