Lamb Wave Near-Field Source Localization Method for Corrosion Monitoring

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Bibliografski detalji
Izdano u:Electronics vol. 14, no. 5 (2025), p. 907
Glavni autor: Zengnian Xin
Daljnji autori: Bao, Qiao, Zheng, Fei
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MDPI AG
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022 |a 2079-9292 
024 7 |a 10.3390/electronics14050907  |2 doi 
035 |a 3176377503 
045 2 |b d20250101  |b d20251231 
084 |a 231458  |2 nlm 
100 1 |a Zengnian Xin  |u Research Center of Structural Health Monitoring and Prognosis, State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; <email>zfd@nuaa.edu.cn</email> 
245 1 |a Lamb Wave Near-Field Source Localization Method for Corrosion Monitoring 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Corrosion is one of the main causes of aircraft structural damage. The deepening of the corrosion depth will greatly endanger the safety of the crew. The Lamb wave array signal processing method can be used to estimate the direction of arrival (DOA) of the signal source. As a form of the Lamb wave array signal processing method, multiple-signal classification (MUSIC) has been gradually applied to the corrosion monitoring of aluminum plates. However, when MUSIC is used for Lamb wave DOA estimation, it has a low resolution and poor anti-interference ability. To improve it, the Lamb wave near-field source location (LWNFL) method is proposed in this paper. The new method adopts a double-sensor array arrangement. Firstly, the compressed sensing (CS) theory is combined with the Lamb wave near-field array model to obtain a DOA estimation of the corrosion. Here, the corrosion angle can be obtained using a CS reconstruction algorithm, and the noise interference can be suppressed by limiting a minimization of the l2 norm. Then, the corrosion distance is calculated according to the Lamb wave arrival time difference between different sensors. Finally, the average of the positioning results from multiple excitation sensors is used as the final location of the corrosion. The proposed LWNFL method is verified on an aluminum plate. The experimental results show that the new method can accurately obtain the location of corrosion and has good resolution and strong anti-interference ability. 
653 |a Aircraft 
653 |a Localization method 
653 |a Music 
653 |a Metal plates 
653 |a Signal processing 
653 |a Sensors 
653 |a Corrosion 
653 |a Signal classification 
653 |a Aviation 
653 |a Near fields 
653 |a Sensor arrays 
653 |a Aluminum 
653 |a Algorithms 
653 |a Direction of arrival 
653 |a Monitoring 
653 |a Localization 
653 |a Structural damage 
653 |a Lamb waves 
700 1 |a Bao, Qiao  |u College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China; <email>baoqiao@njupt.edu.cn</email> 
700 1 |a Zheng, Fei  |u Research Center of Structural Health Monitoring and Prognosis, State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; <email>zfd@nuaa.edu.cn</email> 
773 0 |t Electronics  |g vol. 14, no. 5 (2025), p. 907 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3176377503/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3176377503/fulltextwithgraphics/embedded/H09TXR3UUZB2ISDL?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3176377503/fulltextPDF/embedded/H09TXR3UUZB2ISDL?source=fedsrch