Composite material defect detection method and system based on infrared and ultrasonic signal fusion

Abstract

The invention discloses a composite material defect detection method and system based on infrared and ultrasonic signal fusion, and the method comprises the steps: collecting a data set containing a composite material infrared signal and an ultrasonic signal, and dividing the data set into a training data set and a verification data set; constructing a signal feature learning and fusion classification model based on deep learning, and inputting the training data set into the signal feature learning and fusion classification model for training; and inputting the verification data set into the trained signal feature learning and fusion classification model to obtain a composite material defect detection result. The method and system effectively solves the problems of great influence of human factors on defect type judgment and difficulty in defect qualitative analysis in ultrasonic detection and the problems of low defect type classification accuracy and incapability of reflecting defect positions well in infrared thermal imaging detection, and realizes objective judgment on the defect types and positions of the composite material; and the accuracy of defect type classification is improved.

Description

technical field [0001] The invention belongs to the technical field of composite material defect detection, and in particular relates to a composite material defect detection method and system based on fusion of infrared and ultrasonic signals. Background technique [0002] With the maturity of the process and the improvement of performance, composite materials are widely used in aerospace, energy, automobile and other fields. However, due to potential defects in the process of production or use, if they cannot be found in time, it will bring huge safety hazards and economic losses. Therefore, it is of great practical significance to study the defect detection technology for composite materials. [0003] As a conventional non-destructive testing technology, ultrasonic testing is widely used in the field of non-destructive testing due to its advantages of accurate defect location. However, due to the detection mechanism and instruments, the ultrasonic detection has the disad...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a composite material defect detection method and system based on the fusion of infrared and ultrasonic signals to effectively solve the problem that the judgment of defect types in ultrasonic detection is affected by human factors. The problems of large and difficult defect characterization, as well as the low accuracy of defect type classification and the inability to reflect the defect location in infrared thermal imaging detection, realize objective judgment on the defect type and position of composite materials, and improve the classification of defect types. accuracy rate

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