Image Reconstruction for Electrical Capacitance Tomography Through Redundant Sensitivity Matrix
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2017.2719003
Abstract: Image reconstruction in electrical capacitance tomography usually employs sensitivity matrices that map the relation between permittivity distribution and sensor readings. As a simple linearization of a highly nonlinear problem, this approach suffers from drawbacks, such… read more here.
Keywords: reconstruction; sensitivity matrix; sensitivity; image reconstruction ... See more keywords
Efficient 3-D Gravity Data Inversion With Depth Weighting Function
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3493418
Abstract: Gravity inversion plays a crucial role in estimating subsurface structural information. This process typically involves dividing the subsurface into numerous rectangular prisms and determining the parameters for each one. However, applying the method to large-area… read more here.
Keywords: inversion; gravity inversion; gravity; sensitivity matrix ... See more keywords
Development and Analysis of a Sensitivity Matrix of a Three-Phase Voltage Unbalance Factor
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2018.2807980
Abstract: Unbalanced phase voltages in electricity networks prevent efficient and stable delivery of power and energy services from utility companies to end-users, and vice versa. While variations in voltage magnitude and power loss have been studied… read more here.
Keywords: voltage unbalance; phase; sensitivity matrix; power ... See more keywords
A High Accuracy Voltage Approximation Model Based on Object-oriented Sensitivity Matrix Estimation (OO-SME Model) in Electrical Impedance Tomography
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Electrical Bioimpedance"
DOI: 10.2478/joeb-2022-0015
Abstract: Abstract The image reconstruction in electrical impedance tomography (EIT) has low accuracy due to the approximation error between the measured voltage change and the approximated voltage change, from which the object cannot be accurately reconstructed… read more here.
Keywords: sme model; sensitivity matrix; accuracy; approximation ... See more keywords