Ultrasonic signal feature acquisition method based on improved sparse decomposition

Abstract

The invention discloses an ultrasonic signal feature acquisition method based on improved sparse decomposition, and relates to the technical field of signal processing. The evolutionary idea of whaleoptimization is combined in the empire competition algorithm for aiming at the problem of sparse decomposition of the ultrasonic detection signal, and the algorithm is improved by reference to chaoticthinking and entropy analysis and other theories to form a new improved empire competition algorithm, and the new improved empire competition algorithm is combined with the matching tracking class sparse decomposition method to perform deep analysis and feature extraction of the ultrasonic signal. The method is wide in range of application and high in practicality and has important meaning for the research and application field of nondestructive detection, vibration analysis, seismic waves and medical signals so as to provide the effective way for further enhancement of the industrial production efficiency.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to an ultrasonic signal feature acquisition method based on improved sparse decomposition. Background technique [0002] Non-destructive testing refers to the technical means of measuring the specified characteristic information of the object by using sound, light, magnetism, electricity and other characteristics on the premise of not damaging or affecting the performance of the object under test, so as to determine the technical state of the object. Non-destructive testing technology represented by ultrasonic testing has become an indispensable tool for national industrial development, and occupies an important position in the industrial fields of the United States, Germany and other countries. In recent years, the planning of major national scientific research projects shows that the Chinese government is paying more and more attention to non-destructive testing technolo...

AI Technical Summary

Problems solved by technology

[0004] The ultrasonic signal is a sudden change signal, which is nonlinear and non-stationary, and is often accompanied by signal aliasing and noise interference, making it difficult to accurately obtain signal characteristics

Traditional frequency-domain analysis methods are not ideal for processing such signals, and time-frequency decomposition methods such as wavelet analysis and Hilbert-Huang decomposition in modern methods also have certain limitations.

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