Training method of weld defect detection model, weld defect detection method and system
New weld seam images of nuclear power equipment are generated by the DDPM diffusion model, and a multi-branch weld seam defect detection model is used to solve the problem of insufficient number of weld seam defect images of nuclear power equipment, improve detection accuracy, and is applicable to fields such as nuclear power, medical and aerospace.
CN122156918APending Publication Date: 2026-06-05CGN CANGNAN NUCLEAR POWER CO LTD +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CGN CANGNAN NUCLEAR POWER CO LTD
- Filing Date
- 2026-05-09
- Publication Date
- 2026-06-05
Smart Images
Figure CN122156918A_ABST
Abstract
The application provides a training method of a weld defect detection model, a weld defect detection method and a system. The training method comprises the following steps: inputting a basic weld image set and generated nuclear power equipment weld images and respective corresponding sample labels into a first branch network for training; inputting the nuclear power equipment weld images in the basic weld image set and the corresponding sample labels, and the generated nuclear power equipment weld images and the corresponding sample labels into a second branch network for training; inputting nuclear power equipment weld images with a preset defect type and corresponding sample labels into a third branch network for training; and integrating the trained first branch network, the trained second branch network and the trained third branch network to obtain a trained weld defect detection model. The application trains multiple branch networks respectively by using different types of nuclear power equipment weld images, so that the detection and recognition accuracy of the weld defect detection model for different weld defect types is improved.
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