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

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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Bibliographic Details
Main Authors: Yintang Wen, Yao Jia, Yuyan Zhang, Xiaoyuan Luo, Hongrui Wang
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Sensors
Subjects:
thermal insulation material
electrical capacitance tomography
defect detection
image reconstruction
PSO
Online Access:https://www.mdpi.com/1424-8220/17/11/2440

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