{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T00:14:30Z","timestamp":1723508070482},"reference-count":37,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2024,8,11]],"date-time":"2024-08-11T00:00:00Z","timestamp":1723334400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"China National Key Laboratory on Ship Vibration and Noise Fund Program","award":["JCKY2024207CI06"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"In addressing the challenging issue of impact source localization for large-scale anisotropic stiffened compartmental cylindrical shell structures, this paper presents a novel impact localization method. The method is based on a time-reversal virtual focusing triangulation approach and does not rely on prior knowledge of the structure or specific measurements of wave velocity. By employing energy power filtering to select key sensors, wavelet packet decomposition is utilized to extract narrowband Lamb wave signals, which are then synthesized. Further enhancement of signal recognition is achieved through time-reversal amplification techniques. Experimental results demonstrate that under non-motorized operating conditions, this method achieves an average error of 0.89 m. Under motorized operating conditions, the average error is 1.12 m. Although the presence of background noise leads to an increase in error, the overall localization performance is superior to traditional triangulation methods. Additionally, selecting the top three sensors in terms of energy power ranking can more accurately record impact response.<\/jats:p>","DOI":"10.3390\/s24165185","type":"journal-article","created":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T15:23:46Z","timestamp":1723476226000},"page":"5185","source":"Crossref","is-referenced-by-count":0,"title":["Impact Localization in Complex Cylindrical Shell Structures Based on the Time-Reversal Virtual Focusing Triangulation Method"],"prefix":"10.3390","volume":"24","author":[{"given":"Xiufeng","family":"Huang","sequence":"first","affiliation":[{"name":"Laboratory of Vibration and Noise, Naval University of Engineering, Wuhan 430033, China"},{"name":"National Key Laboratory of Vibration and Noise on Ship, Naval University of Engineering, Wuhan 430033, China"}]},{"given":"Rongwu","family":"Xu","sequence":"additional","affiliation":[{"name":"Laboratory of Vibration and Noise, Naval University of Engineering, Wuhan 430033, China"},{"name":"National Key Laboratory of Vibration and Noise on Ship, Naval University of Engineering, Wuhan 430033, China"}]},{"given":"Wenjing","family":"Yu","sequence":"additional","affiliation":[{"name":"Laboratory of Vibration and Noise, Naval University of Engineering, Wuhan 430033, China"},{"name":"National Key Laboratory of Vibration and Noise on Ship, Naval University of Engineering, Wuhan 430033, China"}]},{"given":"Shiji","family":"Wu","sequence":"additional","affiliation":[{"name":"Laboratory of Vibration and Noise, Naval University of Engineering, Wuhan 430033, China"},{"name":"National Key Laboratory of Vibration and Noise on Ship, Naval University of Engineering, Wuhan 430033, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,8,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"115619","DOI":"10.1016\/j.compstruct.2022.115619","article-title":"Low-Velocity Impact Source Localization in a Composite Sandwich Structure Using a Broadband Piezoelectric Sensor Network","volume":"291","author":"Sikdar","year":"2022","journal-title":"Compos. 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