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• W2735817359 abstract "The sensor modeling problem of electrical capacitance tomography (ECT) is to establish the functional relationship between normalized capacitance values and normalized permittivity distributions. Three different sensor modeling methods are presented in this paper, that is, the sensitivity definition (SD)method, the electric field strength (EFS) method and the multiple linear regression (MLR) method. Using eight representative permittivity distributions, the modeling errors, reconstruction quality and antinoise capability corresponding to these three modeling methods are investigated. Research results show that usually the MLR method corresponds to the minimum modeling error and reconstruction error, while the SD method corresponds to the maximum errors. These three methods are similar in the antinoise ability. Taking into account the implementation difficulty, the EFS method is significantly superior to the other two methods. Therefore, the EFS or MLR method rather than SD method is recommended." @default.
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• W2735817359 date "2017-05-01" @default.
• W2735817359 modified "2023-09-25" @default.
• W2735817359 title "Research on sensor modeling methods in ECT" @default.
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• W2735817359 doi "https://doi.org/10.1109/ccdc.2017.7978592" @default.
• W2735817359 hasPublicationYear "2017" @default.
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