Defect Detection of Adhesive Layer of Thermal Insulation Materials Based on Improved Particle Swarm Optimization of ECT

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 app...

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Detalles Bibliográficos
Autores principales: Wen, Yintang, Jia, Yao, Zhang, Yuyan, Luo, Xiaoyuan, Wang, Hongrui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712938/
https://www.ncbi.nlm.nih.gov/pubmed/29068356
http://dx.doi.org/10.3390/s17112440

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712938/
https://www.ncbi.nlm.nih.gov/pubmed/29068356
http://dx.doi.org/10.3390/s17112440

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