1,721,063 research outputs found
Spatial Harmonic Expansion for Use with Magnetic Sensor Arrays
External magnetic fields affect the accuracy of magnetic sensor measurements used for the reconstruction of ac electric currents flowing in massive parallel conductors. In order to reduce the impact of external magnetic fields, a spatial circular harmonic expansion of the magnetic scalar potential is carried out. Thanks to the linearity of the magnetic field problem with respect to the sources, the least squares inversion can be applied and the set of currents can be obtained from the knowledge of the magnetic field data collected by the sensor array in the vicinity of the current carrying conductors. Furthermore, the positions and the orientations of the magnetic sensors are optimized using D-optimality theory and particle swarm optimization
Boundary element modeling of earth effects on railway track transmission line impedances
Optimization of Magnetic Sensor Arrays for Current Measurement Based on Swarm Intelligence and D-Optimality
Spatial DFT Analisys from Magnetic Sensor Circular Array Data for Measuring a DC Current Flowing in a Rectangular Bus-Bar
Generalized spectral decomposition approach to a stochastic finite integration technique electrokinetic formulation
In order to efficiently solve the stochastic finite integration technique formulation for electrokinetics, a recently proposed generalized spectral decomposition approach is applied. Compared to the standard approach, the proposed method drastically reduces the computational burden. The results are validated by comparison with those obtained with high order polynomial chaos expansion, taken as the reference solution
Reduction of the impact of external magnetic fields on magnetic sensor arrays working as current transducers
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