Intelligent evaluation of X-ray crack image of aircraft structure
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 l...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Advances in Aeronautical Science and Engineering
2024-02-01
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| Series: | Hangkong gongcheng jinzhan |
| Subjects: | |
| Online Access: | http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=2024-1-97.htm |
| _version_ | 1797271140660412416 |
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| author | JIA Wenbo WANG Hongliang XI Zhifei FAN Junling YANG Shengchun ZHANG Wei ZHAO Yanguang |
| author_facet | JIA Wenbo WANG Hongliang XI Zhifei FAN Junling YANG Shengchun ZHANG Wei ZHAO Yanguang |
| author_sort | JIA Wenbo |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-25T02:15:26Z |
| format | Article |
| id | doaj.art-e0233d4a8b7b4534b5547a5b77db82d4 |
| institution | Directory Open Access Journal |
| issn | 1674-8190 |
| language | zho |
| last_indexed | 2024-04-25T02:15:26Z |
| publishDate | 2024-02-01 |
| publisher | Editorial Department of Advances in Aeronautical Science and Engineering |
| record_format | Article |
| series | Hangkong gongcheng jinzhan |
| spelling | doaj.art-e0233d4a8b7b4534b5547a5b77db82d42024-03-07T09:54:37ZzhoEditorial Department of Advances in Aeronautical Science and EngineeringHangkong gongcheng jinzhan1674-81902024-02-011519710410.16615/j.cnki.1674-8190.2024.01.11Intelligent evaluation of X-ray crack image of aircraft structureJIA Wenbo0WANG Hongliang1XI Zhifei2FAN Junling3YANG Shengchun4ZHANG Wei5ZHAO Yanguang6National Key Laboratory of Strength and Structural Integrity, Aircraft Strength Research Institute of China, Xi'an 710065, ChinaState-owned Wuhu Machinery Factory, Wuhu 241000, ChinaState-owned Wuhu Machinery Factory, Wuhu 241000, ChinaNational Key Laboratory of Strength and Structural Integrity, Aircraft Strength Research Institute of China, Xi'an 710065, ChinaNational Key Laboratory of Strength and Structural Integrity, Aircraft Strength Research Institute of China, Xi'an 710065, ChinaNational Key Laboratory of Strength and Structural Integrity, Aircraft Strength Research Institute of China, Xi'an 710065, ChinaState Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116023, ChinaIn 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.http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=2024-1-97.htmx-raycrack imageefficient layer aggregation networkattention mechanismintelligent evaluation |
| spellingShingle | JIA Wenbo WANG Hongliang XI Zhifei FAN Junling YANG Shengchun ZHANG Wei ZHAO Yanguang Intelligent evaluation of X-ray crack image of aircraft structure Hangkong gongcheng jinzhan x-ray crack image efficient layer aggregation network attention mechanism intelligent evaluation |
| title | Intelligent evaluation of X-ray crack image of aircraft structure |
| title_full | Intelligent evaluation of X-ray crack image of aircraft structure |
| title_fullStr | Intelligent evaluation of X-ray crack image of aircraft structure |
| title_full_unstemmed | Intelligent evaluation of X-ray crack image of aircraft structure |
| title_short | Intelligent evaluation of X-ray crack image of aircraft structure |
| title_sort | intelligent evaluation of x ray crack image of aircraft structure |
| topic | x-ray crack image efficient layer aggregation network attention mechanism intelligent evaluation |
| url | http://qktg.shnu.edu.cn/zrb/shsfqkszrb/ch/reader/view_abstract.aspx?file_no=2024-1-97.htm |
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