Abstract
Electrical resistance tomography is a noninvasive imaging modality, where imperceptible currents are applied to the skin and the resulting surface voltages are measured. It has the potential to be of great value in industrial applications. One of the major problem of forward problem is its low efficiency of finite element computation in electrical resistance tomography and high demand in computational cost for industrial application. An advanced approach is proposed by generalizing the finite element method firstly and then using PSO-SA algorithm to optimize the topology of FE model. Compared with conventional FEM or normal GFEM, a smaller number of nodes and elements with the proposed approach are required to achieve the same accuracy. The novelty of this paper relies on the first to generalize the finite mesh and optimize its topology in accordance with dissection results. Experiments from both simulation and prototype results demonstrate that it is capable of achieving better accuracy using less computational cost with the proposed approach.
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Acknowledgements
This work is supported by the National Natural Science Foundation of China (Grant nos. 61402330,61405143, 61373104, 61872269, 61601324), Natural Science Foundation of Tian** Municipal Science and Technology Commission (18JCYBJC85300), Tian** enterprise science and technology correspondent project (18JCTPJC61600).
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Li, B., Wang, J.M., Wang, Q. et al. An Improved Generalized Finite Element Method for Electrical Resistance Tomography Forward Model. J. Electr. Eng. Technol. 14, 2595–2606 (2019). https://doi.org/10.1007/s42835-019-00288-6
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DOI: https://doi.org/10.1007/s42835-019-00288-6