Layered defect imaging method and system using chirp lamb waves and fully convolutional networks

By combining linear frequency modulated Lamb wave excitation with a fully convolutional neural network, the problem of the inability to comprehensively detect delamination defects in carbon fiber plates in existing technologies is solved, achieving accurate imaging and identification of defects of different sizes and reducing model training costs.

CN119648835BActive Publication Date: 2026-06-02HUAZHONG UNIV OF SCI & TECH
View PDF 7 Cites 0 Cited by

Patent Information

Application Number
CN202411804711.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-10
Publication Date
2026-06-02
Estimated Expiration
2044-12-10

AI Technical Summary

Technical Problem

Existing technologies cannot comprehensively detect delamination defects in carbon fiber plates of different sizes, and existing linear frequency modulated Lamb wave imaging methods cannot obtain accurate defect imaging images.

Method used

By employing linear frequency modulated Lamb wave excitation combined with a fully convolutional neural network, a Lamb wave signal is acquired through a piezoelectric transducer and subjected to wavelet transform to construct an imaging model. The fully convolutional neural network is then used to extract the time-frequency domain signal features of the Lamb wave, thereby achieving accurate imaging of defects.

Benefits of technology

It enables accurate imaging and identification of delamination defects in carbon fiber plates, reduces model training costs, and improves the accuracy and comprehensiveness of detection.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119648835B_ABST
    Figure CN119648835B_ABST
Patent Text Reader

Abstract

The application discloses a layered defect linear frequency modulation Lamb wave and full convolution network imaging method and system, and belongs to the technical field of neural network imaging methods.The imaging system comprises a plurality of piezoelectric transducers distributed on the surface of a carbon fiber plate to be detected, a channel switcher electrically connected with the piezoelectric transducers, a signal generator capable of generating multi-frequency Lamb waves and an acquisition card electrically connected with the channel switcher; wherein the signal generator adopts a linear frequency modulation mode to excite Lamb waves, the imaging method can receive linear frequency modulation Lamb wave signals through the piezoelectric transducers, extract time-frequency domain features of the linear frequency modulation signals, and then fuse multi-frequency information in the linear frequency modulation Lamb waves through a full convolution neural network and directly output a defect imaging result.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Sheet air coupled ultrasonic Lamb wave total-focusing imaging detection method

    CN110045019A

  • Imaging method and device based on ultrasonic Lamb wave defect detection

    CN113686959A

  • Debonding profile assessment method for adhesive joints based on Lamb wave phase delay

    CN114813943B

  • Damage contour recognition method for composite materials based on improved minimum variance imaging

    CN115166042B

  • Composite material damage identification method based on power spectrum density and lamb wave tomography

    CN113376250A