78 - Statistical non-parametrical algorithm for Acoustic Emission impulses detection adapted on thebasis of modal analysis approach

摘要

This work is devoted to the study of a nonthreshold method for detecting acoustic emission impulses. As a method of impulse detection, a statistical ranking algorithm based on comparing the ranks of samples in two neighboring sliding windows is considered. To select the setting parameters of the algorithm and verify its reliability, the modal analysis method is used. The modal analysis is a mathematically exact method that leads to a closed integral equation for the elastic fields in the waveguide and which naturally includes the problem of the selectivity of the mode, offering an idea of the physics of waveguide behavior. The non-threshold algorithm developed in the framework of this paper was tested using 10000 model signals. The results of the research showed its high reliability and accuracy. A numerical experiment based on model signals showed that using the proposed nonparametric rank detection algorithm, in comparison with the threshold method, the location error has decreased by 1.5-2 times.