信息与控制2025，Vol.54Issue(2)：264-275,12.DOI:10.13976/j.cnki.xk.2024.0883
基于非线性特征融合的太赫兹热障涂层脱粘缺陷量化方法
Quantization Method for Debonding Defects of Thermal Barrier Coatings Based on Terahertz Nonlinear Feature Fusion
摘要
Abstract
Thermal barrier coatings(TBCs)are widely used in blade protection of aero engines,but the harsh service environment inevitably leads to debonding defects inside TBC.The advancement of terahertz imaging technology provides higher quality guarantee for the service safety of TBC.Feature fusion imaging can improve the imaging effect,but it is difficult to characterize the internal relationship between different feature data by linear feature fusion method.Therefore,a quantitative evaluation method for debonding defects of thermal barrier coatings basd on terahertz nonlinear feature fusion is proposed.Firstly,the single characteristic parameter of the terahertz signal of the coating debonding defect is extracted for imaging,and high-quality feature parameters are selected by image quality evaluation index to compose a high-dimensional data set.Then,Laplacian eigen-maps is used to process high dimensional feature data.The intrinsic low-dimensional manifold fea-tures hidden between the terahertz features are fused and used for imaging the debonding defects of thermal barrier coatings.Finally,the region growth algorithm is used to segment the image of the feature fusion image to achieve the quantitative evaluation of the defect area.Compared with other methods,the defect imaging quality of the proposed method is better.The standard deviation,aver-age gradient and energy gradient of the imaging results of the proposed method are increased by 57.8%,37.7%and 33.2%compared with the single feature imaging results with the best index,and the accuracy rate of defect area identification is as high as 87.2%.关键词
热障涂层(TBC)/太赫兹成像/特征融合/图像分割/量化评估Key words
thermal barrier coating(TBC)/terahertz imaging/feature fusion/image segmentation/quantitative evaluation分类
计算机与自动化引用本文复制引用
曹丙花,孙江龙,潘金平,李欣倩,范孟豹..基于非线性特征融合的太赫兹热障涂层脱粘缺陷量化方法[J].信息与控制,2025,54(2):264-275,12.基金项目
国家自然科学基金项目(62471429) （62471429）
浙江省基础公益研究计划项目(LTGG23E050001) （LTGG23E050001）
市场监管总局科技计划项目(2023MK055) （2023MK055）
