1. Intelligent evaluation of X-ray crack image of aircraft structure
- Author
-
JIA Wenbo, WANG Hongliang, XI Zhifei, FAN Junling, YANG Shengchun, ZHANG Wei, and ZHAO Yanguang
- Subjects
x-ray ,crack image ,efficient layer aggregation network ,attention mechanism ,intelligent evaluation ,Motor vehicles. Aeronautics. Astronautics ,TL1-4050 - Abstract
In the process of aircraft structure X-ray images evaluation,there are some problems such as inaccurate crack segmentation and difficult crack detection under complex background. An intelligent evaluation model (ELAN-Seg) for X-ray crack images of aircraft structures is proposed based on efficient layer aggregation network. The ELAN-Seg model is compared with the DeepLabv3+ model in the crack segmentation ability of the Xray images. Combined with image processing technology,the crack length of model segmentation is evaluated,and the model is verified by X-ray images acquired during aircraft strength test and field maintenance. The results show that the segmented minimum crack length is about 3 mm,the ELAN-Seg model is more accurate in crack segmentation of complex background X-ray images,and the crack detection rate is less than 3.8%. The proposed model has engineering applicability.
- Published
- 2024
- Full Text
- View/download PDF