张志远,颜 华,周英钢,王伊凡.改进灵敏度矩阵的复合材料粘接缺陷 ECT 检测[J].电子测量与仪器学报,2022,36(11):17-23
改进灵敏度矩阵的复合材料粘接缺陷 ECT 检测
ECT detection of bonding defects of composite materialsbased on improved sensitivity matrix
  
DOI:
中文关键词:  平面电容层析成像  粘接缺陷  灵敏度矩阵改进  阈值处理  绝对值处理
英文关键词:planar ECT  bonding defects  sensitivity matrix improvement  threshold processing  absolute value processing
基金项目:国家自然科学基金(61372154,61071141)、辽宁省博士启动基金(201601157)项目资助
作者单位
张志远 1.沈阳工业大学信息科学与工程学院 
颜 华 1.沈阳工业大学信息科学与工程学院 
周英钢 1.沈阳工业大学信息科学与工程学院 
王伊凡 1.沈阳工业大学信息科学与工程学院 
AuthorInstitution
Zhang Zhiyuan 1.School of Information Science and Engineering, Shenyang University of Technology 
Yan Hua 1.School of Information Science and Engineering, Shenyang University of Technology 
Zhou Yinggang 1.School of Information Science and Engineering, Shenyang University of Technology 
Wang Yifan 1.School of Information Science and Engineering, Shenyang University of Technology 
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中文摘要:
      平面电容层析成像(ECT)技术对复合材料粘接缺陷的图像重建,通常要借助灵敏度矩阵完成。 ECT 传感器的敏感场分 布在一个三维空间,但用于缺陷检测的重建图像是二维的,因此存在不同层灵敏度矩阵的选取问题。 探究了不同层灵敏度矩阵 的选取,并提出了一种灵敏度矩阵改进方法。 通过对负敏感区域的阈值处理和绝对值处理,改善了灵敏度矩阵的病态性和不均 匀性,降低 ECT 正问题模化误差。 仿真和实验结果表明,所提方法能够明显降低重建图像中的伪迹,提高重建缺陷的清晰度, 进而降低缺陷误判或漏判的概率。
英文摘要:
      The planar capacitance tomography (ECT) technique is usually used to reconstruct the image of bonding defects of composite materials by means of sensitivity matrix. The sensitive field of ECT sensor is distributed in a three-dimensional space, but the reconstructed image for defect detection is two-dimensional, so there is the problem of selecting the sensitivity matrix of different layers. The selection of sensitivity matrix in different layers is explored, and an improved method of sensitivity matrix is proposed. Through the threshold processing and absolute value processing of the negative sensitive region, the ill condition and non-uniformity of the sensitivity matrix are improved, and the modeling error of ECT forward problem is reduced. Simulation and experimental results show that the proposed method can significantly reduce the artifacts in the reconstructed image, improve the clarity of the reconstructed defects, and then reduce the probability of false or missed judgment.
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