{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T14:54:25Z","timestamp":1769698465243,"version":"3.49.0"},"reference-count":22,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2023,6,21]],"date-time":"2023-06-21T00:00:00Z","timestamp":1687305600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In response to the real-time imaging detection requirements of structural defects in the R region of rib-stiffened wing skin, a defect detection algorithm based on phased-array ultrasonic imaging for wing skin with stiffener is proposed. We select the full-matrix\u2013full-focusing algorithm with the best imaging quality as the prototype for the required detection algorithm. To address the problem of poor real-time performance of the algorithm, a sparsity-based full-focusing algorithm with symmetry redundancy imaging mode is proposed. To address noise artifacts, an adaptive beamforming method and an equal-acoustic-path echo dynamic removal scheme are proposed to adaptively suppress noise artifacts. Finally, within 0.5 s of imaging time, the algorithm achieves a detection sensitivity of 1 mm and a resolution of 0.5 mm within a single-frame imaging range of 30 mm \u00d7 30 mm. The defect detection algorithm proposed in this paper combines phased-array ultrasonic technology and post-processing imaging technology to improve the real-time performance and noise artifact suppression of ultrasound imaging algorithms based on engineering applications. Compared with traditional single-element ultrasonic detection technology, phased-array detection technology based on post-processing algorithms has better defect detection and imaging characterization performance and is suitable for R-region structural detection scenarios.<\/jats:p>","DOI":"10.3390\/s23135788","type":"journal-article","created":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T02:09:17Z","timestamp":1687399757000},"page":"5788","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Defect Detection Algorithm for Wing Skin with Stiffener Based on Phased-Array Ultrasonic Imaging"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5885-3750","authenticated-orcid":false,"given":"Chuangui","family":"Wu","sequence":"first","affiliation":[{"name":"State-Owned Machinery Factory in Wuhu, Wuhu 241007, China"},{"name":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China"},{"name":"Anhui Province Aviation Equipment Testing and Control and Reverse Engineering Laboratory, Wuhu 241007, China"}]},{"given":"GuiLi","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China"}]},{"given":"Yimeng","family":"Shan","sequence":"additional","affiliation":[{"name":"State-Owned Machinery Factory in Wuhu, Wuhu 241007, China"},{"name":"Anhui Province Aviation Equipment Testing and Control and Reverse Engineering Laboratory, Wuhu 241007, China"}]},{"given":"Xin","family":"Fan","sequence":"additional","affiliation":[{"name":"State-Owned Machinery Factory in Wuhu, Wuhu 241007, China"},{"name":"Anhui Province Aviation Equipment Testing and Control and Reverse Engineering Laboratory, Wuhu 241007, China"}]},{"given":"Xiaohui","family":"Zhang","sequence":"additional","affiliation":[{"name":"State-Owned Machinery Factory in Wuhu, Wuhu 241007, China"},{"name":"Anhui Province Aviation Equipment Testing and Control and Reverse Engineering Laboratory, Wuhu 241007, China"}]},{"given":"Yaxing","family":"Liu","sequence":"additional","affiliation":[{"name":"State-Owned Machinery Factory in Wuhu, Wuhu 241007, China"},{"name":"Anhui Province Aviation Equipment Testing and Control and Reverse Engineering Laboratory, Wuhu 241007, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,21]]},"reference":[{"key":"ref_1","unstructured":"Qing, F., Wang, Y.H., and Gao, Y. 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