共查询到18条相似文献,搜索用时 187 毫秒
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针对航空复合材料制件在生产和服役过程中产生的缺陷损伤,提出了一种基于电容敏感原理的同面多电极阵列传感器无损检测方法。基于电容边缘效应,设计了一套同面电极阵列的胶粘缺陷检测系统,模拟航空复合材料缺陷的真实分布。电容层析成像(ECT)系统以单电极激励方式工作,根据缺陷材料介电特性变化引起的电容测量值的变化,采用共轭梯度成像算法复现缺陷位置和形状。实验结果表明,所述方法能够准确地判断出胶粘缺陷的位置和大小,能够对2mm厚度碳纤维复合材料内侧的8mm胶粘结构缺陷进行可视化检测,ECT检测系统重建图像质量较高、边缘伪影较少,为航空复合材料缺陷检测提供了一种新的研究方向。 相似文献
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提出了一种非闭合电极电容层析成像(ECT)传感器结构参数的优化方法.采用均匀设计结合非线性偏最小二乘(NPLS)回归,提取传感器结构参数(电极极板的宽度 L、绝缘外壳的壁厚δ1.、屏蔽罩与绝缘外壳间距δ2及绝缘外壳材料的相对介电常数ε)与待优化指标(敏感场的均匀度及灵敏度指标p1、最大与最小电容的比值 K)间的函数关系,建立相应的优化目标泛函,通过对优化目标泛函的求解,最终获得传感器结构参数的最优值.并以 10 电极非闭合电极 ECT 传感器为研究对象,进行了结构参数的优化设计,根据优化结果设计制作了非闭合电极 ECT 传感器,对其成像进行了仿真与实测.结果表明,参数优化后的传感器图像重建质量优于未优化的传感器. 相似文献
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针对电容层析成像图像重建具有非线性不适定性的问题,提出了8组24电极旋转激励测量方案,并与传统12电极电容层析成像传感器进行了对比分析,包括电容值大小及其动态范围、敏感场分布均匀性以及重建图像质量。应用COMSOL软件及Matlab软件对两种传感器激励模式进行仿真,结果表明:所提出的8组电极旋转激励测量模式,其电容独立测量数与传统12电极传感器相近,可较好地保证实时成像速度,测量电容值较大且动态范围较小,降低了信号检测电路设计难度,测量区域灵敏场均匀性有所改善,对中心物体的成像质量明显提高。 相似文献
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同面阵列电极主要基于边缘电场工作使其敏感场分布呈现软场特性,其传感能力易受外部多因素影响而降低。为了提高同面电容传感器的检测能力和检测效率,本文针对3×4同面阵列电极,提出了一种两极板联合循环激励的测量模式。通过对同面电极电势分布的有限元仿真,分析了该激励模式下的电场穿透深度。求解了阵列电极的灵敏度矩阵,根据其数据离散系数评判敏感场的均匀性。通过建立3种不同被测物场的模型,分别分析其电容数据的动态范围,并进行图像重建,采用图像相关系数比较图像质量的提升效果。结果表明,在联合循环电极激励测量模式下,阵列电极穿透深度和敏感场分布均匀性均好于单电极激励模式,重建图像更清晰地反映了待测物体的实际形态和轮廓,综合验证了阵列电极传感能力得以提高。 相似文献
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为了深入探究电容层析成像(ECT)在用于低温流体(液汽介电常数比比室温介质小1个数量级以上)的两相流反演成像时的成像性能,基于数值模拟,对比确认最佳成像方法后,通过对比图像质量和成像定量指标研究了低温流体在4种两相流型下的成像空间分辨率。结果表明成像分辨率在测量中心区域为直径比0.2,边缘区域为0.1,影响因素包括主流体相对介电常数、两相介质的介电常数比、数据噪声等,其中分辨率对测量噪声尤为敏感。研究定量验证了ECT用于低温流体测量时的分辨率性能,并为未来传感器的优化指明了方向。 相似文献
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A Multimodal Tomography System Based on ECT Sensors 总被引:2,自引:0,他引:2
Qussai Marashdeh Warsito Warsito Liang-Shih Fan Fernando L. Teixeira 《IEEE sensors journal》2007,7(3):426-433
A new noninvasive system for multimodal electrical tomography based on electrical capacitance tomography (ECT) sensor hardware is proposed. Quasistatic electromagnetic fields are produced by ECT sensors and used for interrogating the sensing domain. The new system is noninvasive and based on capacitance measurements for permittivity and power balance measurements for conductivity (impedance) imaging. A dual sensitivity map of perturbations in permittivity and conductivity is constructed. The measured data along with the sensitivity matrix are used for the actual image reconstruction. The new multimodal tomography system has the advantage of using already established reconstruction techniques, and the potential for combination with new reconstruction techniques by taking advantage of combined conductivity/permittivity data. Moreover, it does not require direct contact between the sensor and the region of interest. The system performance has been tested on representative data, producing good results 相似文献
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Electrical capacitance tomography (ECT) is a non-invasive imaging technology that aims at the visualisation of the cross-sectional permittivity distribution of a dielectric object based on the measured capacitance data. Successful applications of ECT depend greatly on the precision and speed of the image reconstruction algorithms. ECT image reconstruction is a typical ill-posed problem, and its solution is unstable, that is, the solution is sensitive to noises in the input data. Methods that ensure the stability of a solution while enhancing the quality of the reconstructed images should be used to obtain a meaningful reconstruction result. An image reconstruction algorithm based on the regularised total least squares (TLS) method that considers the errors in both the sensitivity field matrix and the capacitance data for ECT is presented. The regularised TLS method is extended using a combination robust estimation technique and an extended stabilising functional according to the ill-posed characteristics of ECT, which transforms the image reconstruction problem into an optimisation problem. In addition, the Newton algorithm is employed to solve the objective functional. Numerical simulations indicate that the algorithm is feasible and overcomes the numerical instability of ECT image reconstruction; for the cases of the reconstructed objects considered here, the spatial resolution of the reconstructed images obtained using the algorithm is enhanced; as a result, an efficient method for ECT image reconstruction is introduced. 相似文献
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Electrical Capacitance Volume Tomography 总被引:1,自引:0,他引:1
A dynamic volume imaging based on the principle of electrical capacitance tomography (ECT), namely, electrical capacitance volume tomography (ECVT), has been developed in this study. The technique generates, from the measured capacitance, a whole volumetric image of the region enclosed by the geometrically three-dimensional capacitance sensor. This development enables a real-time, 3-D imaging of a moving object or a real-time volume imaging (4-D) to be realized. Moreover, it allows total interrogation of the whole volume within the domain (vessel or conduit) of an arbitrary shape or geometry. The development of the ECVT imaging technique primarily encloses the 3-D capacitance sensor design and the volume image reconstruction technique. The electrical field variation in three-dimensional space forms a basis for volume imaging through different shapes and configurations of ECT sensor electrodes. The image reconstruction scheme is established by implementing the neural-network multicriterion optimization image reconstruction (NN-MOIRT), developed earlier by the authors for the 2-D ECT. The image reconstruction technique is modified by introducing into the algorithm a 3-D sensitivity matrix to replace the 2-D sensitivity matrix in conventional 2-D ECT, and providing additional network constraints including 3-to-2-D image matching function. The additional constraints further enhance the accuracy of the image reconstruction algorithm. The technique has been successfully verified over actual objects in the experimental conditions 相似文献
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进行了电容层析成像(ECT)三维图像重建的仿真研究。首先利用COMSOL软件对ECT传感器进行三维建模,基于其高精度的有限元求解,计算ECT的灵敏度矩阵;其次,基于Matlab软件实现了基于线性反投影(LBP)及Landweber迭代算法的ECT图像重建,并利用图像显示程序获得了三维重建图像;最后,对球体及圆柱体模型进行了三维ECT图像重建,获得了较好的重建结果。 相似文献
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In this study, a previously developed dual modality imaging system is applied to image the flow of granular matter with different
electrical properties in cylindrical vessels. The imaging system is based on both capacitance and power measurements acquired
by an electrical capacitance tomography (ECT) sensor located around the vessel. The measurement data are then used to reconstruct
cross-sectional images of both permittivity and conductivity distributions. A neural network multi-criterion optimization
reconstruction technique (NN-MOIRT) is used for the inverse (reconstruction) problem. The contribution of this technology
to the field of granular matters is explored through review of research articles that can be a direct application of this
development. We discuss the capabilities of this dual-modality acquisition system using synthetic data for granular matter
with different electrical properties. 相似文献
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《IEEE transactions on instrumentation and measurement》2010,59(1):78-83