{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T03:54:29Z","timestamp":1760586869735,"version":"build-2065373602"},"reference-count":19,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2017,10,25]],"date-time":"2017-10-25T00:00:00Z","timestamp":1508889600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61403333"],"award-info":[{"award-number":["61403333"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper studies the defect detection problem of adhesive layer of thermal insulation materials. A novel detection method based on an improved particle swarm optimization (PSO) algorithm of Electrical Capacitance Tomography (ECT) is presented. Firstly, a least squares support vector machine is applied for data processing of measured capacitance values. Then, the improved PSO algorithm is proposed and applied for image reconstruction. Finally, some experiments are provided to verify the effectiveness of the proposed method in defect detection for adhesive layer of thermal insulation materials. The performance comparisons demonstrate that the proposed method has higher precision by comparing with traditional ECT algorithms.<\/jats:p>","DOI":"10.3390\/s17112440","type":"journal-article","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T10:39:18Z","timestamp":1508841558000},"page":"2440","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Defect Detection of Adhesive Layer of Thermal Insulation Materials Based on Improved Particle Swarm Optimization of ECT"],"prefix":"10.3390","volume":"17","author":[{"given":"Yintang","family":"Wen","sequence":"first","affiliation":[{"name":"School of Science and Technology, Yanshan University, Qinhuangdao 066004, China"}]},{"given":"Yao","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China"}]},{"given":"Yuyan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0404-9533","authenticated-orcid":false,"given":"Xiaoyuan","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China"}]},{"given":"Hongrui","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China"}]}],"member":"1968","published-online":{"date-parts":[[2017,10,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5536","DOI":"10.1016\/j.actamat.2012.06.051","article-title":"An extremely low thermal conduction ceramic: RE9.33 (SiO4)6O2 silicate oxyapatite","volume":"60","author":"Wu","year":"2012","journal-title":"Acta Mater."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.compscitech.2014.05.029","article-title":"Visualization of hidden delamination and debonding in composites through noncontact laser ultrasonic scanning","volume":"100","author":"Park","year":"2014","journal-title":"Compos. 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