Automatic Detection and Imaging of Rivet Hole Defects for Aircraft Structures With Optimized Sensor Array Using Eddy Current Method and Image Analysis

被引:28
作者
Shao, Yuchun [1 ]
Meng, Tian [1 ]
Yu, Kuohai [1 ]
Xia, Zihan [1 ]
Huang, Ruochen [1 ]
Tao, Yang [1 ]
Chen, Ziqi [1 ]
Avila, Jorge Ricardo Salas [1 ]
Yin, Wuliang [1 ]
机构
[1] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, England
基金
英国工程与自然科学研究理事会;
关键词
Sensors; Sensor arrays; Aluminum; Sensitivity; Eddy currents; Aircraft; Receivers; Eddy current testing; imaging; machine learning; non-destructive testing; CORROSION DETECTION; CRACKS;
D O I
10.1109/JSEN.2022.3188863
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Fatigue cracking in riveted lap joints on aircraft could cause severe safety consequences in flight. The prior inspection for the integrity of the second layer of aircraft structure with rivet removed is necessary due to the priority of safety. Methods such as radiographic and ultrasonic testing are widely applied but require relatively expensive equipment, mechanical scanning or professional operators. Eddy current method can be adopted for non-destructive testing (NDT) inspection, which is safe and low-cost. In this paper, a hand-held eddy current (EC) sensor array was optimised based on sensitivity map analysis. The EC sensor array was used with a multi-channel EM instrument, which was capable of inspecting defects around the fastener locations covered by the head of rivets. A simulated sample of riveted joint with defects was examined with the eddy current sensing system and the collected data was processed by Hough Circle Transformation (HCT) and texture analysis. The analysis results could detect and locate fatigue cracks on the sample. The presented eddy current sensing system in this paper achieved an automatic, real-time, portable, convenient and accurate inspection method for defects in riveted joints.
引用
收藏
页码:4597 / 4606
页数:10
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