Ultrasonic echo signal online preprocessing method based on singular spectrum analysis

Abstract

The invention provides an ultrasonic echo signal online preprocessing method based on singular spectrum analysis. The method is used for echo signal preprocessing in the ultrasonic online detection technology. The method includes the steps that a rail matrix is constructed according to measured ultrasonic echo signals, and proper matrix parameters are automatically determined through the inset window length selection algorithm; the ultrasonic echo signal rail matrix is subjected to singular value decomposition, and a singular value spectrum is obtained; a feature value spectrum and a singular value differential spectrum of the ultrasonic echo signal rail matrix are calculated; a reconstruction group number for singular spectrum analysis is determined through a self-adaptive reconstruction algorithm, and then a denoised reconstruction ultrasonic echo sequence is constructed; a reconstruction principal component sequence corresponding to a signal component is further subjected to frequency domain analysis.

Description

technical field [0001] The invention relates to a method for preprocessing ultrasonic echo signals, in particular to an online preprocessing method for ultrasonic echo signals based on singular spectrum analysis. Background technique [0002] Ultrasonic testing technology uses ultrasonic transducers to emit ultrasonic pulses to interact with the measured object. By receiving and studying the backscattered ultrasonic echo signals, the physical characteristics such as the shape, size, and mechanical structure of the measured object can be determined, which belongs to non-invasive detection. It is widely used in equipment fault diagnosis, non-destructive testing and other fields. [0003] Ultrasonic echo signals are typical time-varying, nonlinear, and non-stationary signals. Good signal preprocessing is of great significance for its subsequent detection, especially for online detection equipment. Specifically, firstly, because online detection equipment often needs to take in...

AI Technical Summary

Problems solved by technology

In recent years, time-frequency domain signal analysis methods such as wavelet transform, wavelet packet transform, and empirical mode decomposition have been widely used in ultrasonic echo signal denoising and feature extraction, but for optimal wavelet transform and wavelet packet transform The selection of bases, the determination of optimal decomposition layers and thresholds, and the selection of intrinsic mode functions of empirical mode decomposition, endpoint effects and redundant mode processing are still to be further studied, and most of them still rely on experiments to determine. The method also has the problems of high complexity and slow calculation speed.

Images