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宋亚勤

教授 博士生导师 硕士生导师

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  • 学历: 博士研究生毕业
  • 学位: 博士
  • 职称: 教授
  • 毕业院校: 西安交通大学
  • 学科: 力学

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A zero-shot quantitative evaluation model for subsurface defects size based on ultrasonic nondestructive testing

发布时间:2025-04-30
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发布时间:
2025-04-30
论文名称:
A zero-shot quantitative evaluation model for subsurface defects size based on ultrasonic nondestructive testing
发表刊物:
Measurement
摘要:
Existing defect quantitative evaluation models requires collecting and labeling all types of defect data for training. However, such models have a poor ability for new defect, and collecting and labeling data is a costly task. A zero-shot evaluation model is proposed to solve the questions. First, a Wavelet Packet Transform-based method is developed to convert defect ultrasonic signals into time–frequency images. Second, we define defect semantics from length, width, and height to describe defects of different sizes. Third, the ResNet with embedded Brownian Distance Covariance matrix and multi-dimension parallel framework is designed to extract the image features. Then, an autoencoder is trained to embed the defect semantic into the feature space. Finally, the dimension of defect is evaluated by measuring the similarity between the features and the category centroids. Experimental results reveal that our model has better ability to evaluate the dimensions of new defect compared to others models.
合写作者:
Zhifeng Li, Shaoheng Song, Xiaojian Liu, Haodong Suo, Weihua Liu , Yaqin Song*
卷号:
241
页面范围:
115738
是否译文:
发表时间:
2024-09-14