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Sensitivity map computation in adaptive electrical capacitance volume tomography with multielectrode excitations

机译:自适应电容体积层析成像中多电极激发的灵敏度图计算

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摘要

Electrical capacitance tomography (ECT) is a low-cost, high-speed imaging technique useful in many industrial settings. ECT is predicated on the knowledge of sensitivity maps between capacitance electrodes that blanket the imaging domain. The simultaneous activation of multiple electrodes can be advantageous to manipulate the resulting field distributions and capture additional spatial information for imaging purposes. However, conventional methods for sensitivity map computation in ECT are not adequate in the presence of multielectrode activation because the mutual coupling between electrodes is not properly accounted for. This coupling becomes especially critical in adaptive electrical capacitance volume tomography (AECVT) sensors, where signals from many small electrode segments are combined into synthetic electrodes. A more general approach is presented for sensitivity map computation in AECVT based on the actual posteriori (induced) charge distributions rather than the conventional approach based on boundary conditions with no account for electrode interactions.
机译:电容层析成像(ECT)是一种低成本,高速成像技术,可用于许多工业环境。 ECT的依据是覆盖成像域的电容电极之间的灵敏度图。多个电极的同时激活可以有利于操纵所得的场分布并捕获用于成像目的的附加空间信息。然而,在多电极激活的情况下,用于ECT中灵敏度图计算的常规方法是不够的,因为不能正确考虑电极之间的相互耦合。这种耦合在自适应电容体积层析成像(AECVT)传感器中尤为重要,在该传感器中,来自许多小电极段的信号被组合到合成电极中。提出了一种更通用的方法,用于基于实际后验(感应)电荷分布的AECVT中的灵敏度图计算,而不是基于边界条件且不考虑电极相互作用的传统方法。

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