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Intelligent evaluation of X-ray crack image of aircraft structure
- Source :
- Hangkong gongcheng jinzhan, Vol 15, Iss 1, Pp 97-104 (2024)
- Publication Year :
- 2024
- Publisher :
- Editorial Department of Advances in Aeronautical Science and Engineering, 2024.
-
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.
Details
- Language :
- Chinese
- ISSN :
- 16748190
- Volume :
- 15
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Hangkong gongcheng jinzhan
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.0233d4a8b7b4534b5547a5b77db82d4
- Document Type :
- article
- Full Text :
- https://doi.org/10.16615/j.cnki.1674-8190.2024.01.11