Corrosion monitoring using a new compressed sensing-based tomographic method

被引:20
作者
Chang, Ming [1 ,2 ]
Yuan, Shenfang [1 ]
Guo, Fangyu [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Res Ctr Struct Hlth Monitoring & Prognosis, State Key Lab Mech & Control Mech Struct, Nanjing 210016, Jiangsu, Peoples R China
[2] Yangzhou Univ, Coll Elect Energy & Power Engn, Yangzhou 225000, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Aircraft structure; Corrosion monitoring; Compressed sensing; Lamb wave tomography; WAVE; RECONSTRUCTION; CLASSIFICATION; PROJECTION;
D O I
10.1016/j.ultras.2019.105988
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Corrosion damage of aircraft structures can significantly reduce the structural performance and endanger flight safety. There is a pressing need for research on aircraft structural corrosion monitoring technology. Lamb wave tomography (LWT) can be used to evaluate structural corrosion. However, the conventional tomographic method needs sensors with dense array, which is not easy to be satisfied in practice and limits its application. Due to the sparsity of corrosion damage in aircraft structures, compressed sensing (CS), which is an emerging signal processing technique, can be employed to optimize LWT. This paper presents a novel CS-based tomographic method to map out the internal situation of aircraft structure. Compared to conventional LWT, the CS-based tomographic method requires fewer sensors to detect the same corrosion damage while the imaging quality still maintains. The experimental study is carried out to diagnose the real corrosion damage by the new approach. Results show the advantages of the proposed CS-based tomographic method.
引用
收藏
页数:11
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