Title of Paper:Ensemble Variational Bayes Tensor Factorization for Super Resolution of CFRP Debond Detection

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Journal:Infrared Physics & Technology

Abstract:The carbon fiber reinforced polymer (CFRP) is widely used in aircraft and wind turbine blades. The common type of CFRP defect is debond. Optical pulse thermographic nondestructive evaluation (OPTNDE) and relevant thermal feature extraction algorithms are generally used to detect the debond. However, the resolution of detection performance remain as challenges. In this paper, the ensemble variational Bayes tensor factorization has been proposed to conduct super resolution of the debond detection. The algorithm is based on the framework of variational Bayes tensor factorization

Note:Code is attached

All the Authors:Peng Lu, Qizhi Feng, Yang Yang, Wai Lok Woo, Gui Yun Tian

Indexed by:Applied Research

Correspondence Author:Bin Gao

Discipline:Engineering

First-Level Discipline:Control science and engineering

Volume:85

Page Number:335-346

Translation or Not:no

Date of Publication:2017-08-15