Frame by frame wavelet decomposition of electrical capacitance values for real time tomometric applications

Electrical Capacitance Tomometric (ECTm) approach is attractive for measurement and control applications in the process industries, although work in process tomography stretching from the inception years up to now had the main focus on tomograms and their refinements. By using the time series of raw capacitance values C(x,y,t) obtained from Electrical Capacitance Tomographic (ECT) modules, it is shown in this paper how the interface height in a pipe transporting oil and gas can be directly read from wavelet based decomposition and reconstruction of raw capacitances. A combination of wavelet based analysis and neural network can accelerate the measurement process and facilitating the ECTm approach in real time control applications especially in the oil and gas industries and in the process industries in general.