Unlock instant, AI-driven research and patent intelligence for your innovation.

Lamb wave dispersion elimination method and system based on Bayesian learning

A Bayesian learning and dispersion technology, applied in the field of signal processing, can solve the problem of multi-modal Lamb wave dispersion compensation, etc., and achieve the effect of improving accuracy and resolution

Active Publication Date: 2021-08-06
XI AN JIAOTONG UNIV
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the shortcomings in the prior art that the multimodal Lamb waves cannot be compensated for dispersion and need to manually determine the regularization parameters, and provide a Lamb wave dispersion elimination method and detection method based on Bayesian learning. The system can realize the dispersion elimination of multi-mode Lamb waves without manual adjustment of parameters

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Lamb wave dispersion elimination method and system based on Bayesian learning
  • Lamb wave dispersion elimination method and system based on Bayesian learning
  • Lamb wave dispersion elimination method and system based on Bayesian learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] The following will refer to the attached Figure 1 to Figure 7 Specific examples of the present invention are described in more detail. Although specific embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and is not limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0063] It should be noted that certain terms are used in the specification and claims to refer to specific components. Those skilled in the art should understand that they may use different terms to refer to the same component. The specification and claims do not use differences in nouns as a way of distinguishing components, but use differences in functions of components as a criterion for distinguishing. "Includes" or "comprises" mentioned throughout ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

PropertyMeasurementUnit
densityaaaaaaaaaa
elastic modulusaaaaaaaaaa
sizeaaaaaaaaaa
Login to View More

Abstract

The invention discloses a method and system for eliminating Lamb wave dispersion based on Bayesian learning. The method includes the following steps: acquiring the modal feature information of the target dispersion Lamb wave signal, and converting the time-domain signal into frequency domain to obtain the multimodal Lamb wave signal R(ω) of dispersion, after discretization, the signal in its specific frequency band is written in the form of column vector r=[R(ω 1 ), R(ω 2 ),…,R(ω N )] T , based on the modal feature information, according to the Lamb wave propagation model to construct the multimodal dispersion propagation dictionary Φ and the non-dispersive propagation dictionary Φ′ respectively, the dispersion multimodal Lamb wave signal r is constructed in the dispersion dictionary Sparse representation is performed under Φ, and the non-dispersive dictionary Φ' is multiplied by the obtained sparse representation coefficient w to obtain a signal r'=Φ'w, where r' is the signal corresponding to the original signal r after removing the dispersion effect.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a method and system for eliminating Lamb wave dispersion based on Bayesian learning. Background technique [0002] Lamb wave is an ultrasonic guided wave that exists in thin plate structures. It can propagate a long distance in the structure with small attenuation and is sensitive to both surface and internal damage of the structure. It has become an important tool in the field of structural health monitoring and nondestructive testing. The nondestructive testing or structural health monitoring system based on Lamb waves is an active system because it contains signal excitation and receiving modules. This type of system excites a Lamb signal of a specific waveform in the structure under test. When the Lamb wave signal propagates in the structure and encounters a scattering source, the signal will be scattered. These scattered signals will be collected by the pre-arrange...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01N29/04G01N29/44
CPCG01N29/041G01N29/44G01N2291/0423
Inventor 翟智许才彬陈雪峰杨志勃乔百杰田绍华
Owner XI AN JIAOTONG UNIV