A Local TR-MUSIC Algorithm for Damage Imaging of Aircraft Structures
Lamb wave-based damage imaging is a promising technique for aircraft structural health monitoring, as enhancing the resolution of damage detection is a persistent challenge. In this paper, a damage imaging technique based on the Time Reversal-MUltiple SIgnal Classification (TR-MUSIC) algorithm is de...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/10/3334 |
| _version_ | 1797534551328686080 |
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| author | Shilei Fan Aijia Zhang Hu Sun Fenglin Yun |
| author_facet | Shilei Fan Aijia Zhang Hu Sun Fenglin Yun |
| author_sort | Shilei Fan |
| collection | DOAJ |
| description | Lamb wave-based damage imaging is a promising technique for aircraft structural health monitoring, as enhancing the resolution of damage detection is a persistent challenge. In this paper, a damage imaging technique based on the Time Reversal-MUltiple SIgnal Classification (TR-MUSIC) algorithm is developed to detect damage in plate-type structures. In the TR-MUSIC algorithm, a transfer matrix is first established by exciting and sensing signals. A TR operator is constructed for eigenvalue decomposition to divide the data space into signal and noise subspaces. The structural space spectrum of the algorithm is calculated based on the orthogonality of the two subspaces. A local TR-MUSIC algorithm is proposed to enhance the image quality of multiple damages by using a moving time window to establish the local space spectrum at different times or different distances. The multidamage detection capability of the proposed enhanced TR-MUSIC algorithm is verified by simulations and experiments. The results reveal that the local TR-MUSIC algorithm can not only effectively detect multiple damages in plate-type structures with good image quality but also has a superresolution ability for detecting damage with distances smaller than half the wavelength. |
| first_indexed | 2024-03-10T11:32:08Z |
| format | Article |
| id | doaj.art-d65ec98719184123ae955181cb851d36 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T11:32:08Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d65ec98719184123ae955181cb851d362023-11-21T19:13:18ZengMDPI AGSensors1424-82202021-05-012110333410.3390/s21103334A Local TR-MUSIC Algorithm for Damage Imaging of Aircraft StructuresShilei Fan0Aijia Zhang1Hu Sun2Fenglin Yun3College of Aerospace Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, ChinaSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, ChinaLamb wave-based damage imaging is a promising technique for aircraft structural health monitoring, as enhancing the resolution of damage detection is a persistent challenge. In this paper, a damage imaging technique based on the Time Reversal-MUltiple SIgnal Classification (TR-MUSIC) algorithm is developed to detect damage in plate-type structures. In the TR-MUSIC algorithm, a transfer matrix is first established by exciting and sensing signals. A TR operator is constructed for eigenvalue decomposition to divide the data space into signal and noise subspaces. The structural space spectrum of the algorithm is calculated based on the orthogonality of the two subspaces. A local TR-MUSIC algorithm is proposed to enhance the image quality of multiple damages by using a moving time window to establish the local space spectrum at different times or different distances. The multidamage detection capability of the proposed enhanced TR-MUSIC algorithm is verified by simulations and experiments. The results reveal that the local TR-MUSIC algorithm can not only effectively detect multiple damages in plate-type structures with good image quality but also has a superresolution ability for detecting damage with distances smaller than half the wavelength.https://www.mdpi.com/1424-8220/21/10/3334structural health monitoringLamb wavedamage imaginglocal TR-MUSIC algorithmsuperresolution |
| spellingShingle | Shilei Fan Aijia Zhang Hu Sun Fenglin Yun A Local TR-MUSIC Algorithm for Damage Imaging of Aircraft Structures Sensors structural health monitoring Lamb wave damage imaging local TR-MUSIC algorithm superresolution |
| title | A Local TR-MUSIC Algorithm for Damage Imaging of Aircraft Structures |
| title_full | A Local TR-MUSIC Algorithm for Damage Imaging of Aircraft Structures |
| title_fullStr | A Local TR-MUSIC Algorithm for Damage Imaging of Aircraft Structures |
| title_full_unstemmed | A Local TR-MUSIC Algorithm for Damage Imaging of Aircraft Structures |
| title_short | A Local TR-MUSIC Algorithm for Damage Imaging of Aircraft Structures |
| title_sort | local tr music algorithm for damage imaging of aircraft structures |
| topic | structural health monitoring Lamb wave damage imaging local TR-MUSIC algorithm superresolution |
| url | https://www.mdpi.com/1424-8220/21/10/3334 |
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