Sensitivity matrix calculation for fast 3-D electrical capacitance tomography (ECT) of flow systems

We discuss an improved three-dimensional sensitivity matrix calculation and measurement approach for electrical capacitance tomography of flow systems employing neural-network-based reconstruction algorithms. The experimental apparatus involved, the sensor design, and the forward and inverse numerical techniques are also discussed. Simulation results of the imaging of flow systems are provided to illustrate the capabilities of the technique.