Pipeline welding seam defect identification method

• Main Authors: LIN FAN, HUANG FUKENG, ZHANG QIUZHEN
• Format: Patent
• Language: Chinese; English
• Published: 13.08.2021
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention discloses a pipeline welding seam defect identification method. The method comprises the following steps of detecting a welding seam by using an ultrasonic detector, collecting data, obtaining an ultrasonic time domain image, performing discrete Fourier transform on the time domain data, converting the time domain data into frequency domain data, mapping the frequency domain data onto a coordinate system, and forming an ultrasonic frequency domain image; wherein the ultrasonic frequency domain image can be better identified by a deep learning model; putting the ultrasonic frequency domain image into the trained deep learning model, and finally obtaining the judgment result through the output result of the deep learning model, so that the recognition accuracy and efficiency of the welding seam defects are improved, the established deep learning model can meet the recognition of more types of welding seam defects through deep learning, and the flexibility is higher. 本发明公开了一种管道焊缝缺陷识别方法，以超声波检测仪对焊缝进行