Method and system for nondestructive testing of aviation components
Through the active infrared thermal imaging system and the method of segmenting into predicted micro-areas, combined with local statistical models and incremental learning algorithms, the automation and efficiency problems of non-destructive testing of heterogeneous aviation components are solved, and efficient testing of aviation components with complex geometric shapes is achieved.
Patent Information
- Application Number
- CN202180019665.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Priority Date
- 2020-03-13
- Filing Date
- 2021-03-09
- Publication Date
- 2025-09-26
- Estimated Expiration
- 2041-03-09
AI Technical Summary
Existing technologies for non-destructive testing of heterogeneous and complex geometrically shaped aviation components suffer from time-consuming and labor-intensive testing methods, difficulty in automated interpretation, and the fact that existing methods are only applicable to homogeneous materials and cannot effectively address the detection difficulties caused by heterogeneity and complex geometric shapes.
An active infrared thermal imaging system is used to acquire digital images of aviation components. The images are segmented into prediction micro-areas and compared with local statistical models using statistical prediction algorithms to form abnormal micro-maps. The local models are dynamically updated using incremental learning algorithms to achieve automated detection.
It improves the automation and accuracy of detection, reduces detection time, can effectively handle heterogeneous materials and complex geometries, and enhances the robustness and efficiency of the method.