Machine learning approach for locating phase interfaces using conductivity probes

We describe a technique to measure the locations of phase interfaces (bed levels) in industrial processes, such as in sedimentation or separation. The measurement approach is based on Electrical Impedance Tomography (EIT) type technology in which the conductivity distribution of the object is estimated based on the current–voltage data of the measurement device. In this article we discuss a novel probe technique that uses machine learning methodology to estimate the bed levels. We also introduce a way to prune the set of injection and measurement electrodes to the bare minimum which makes the measurement device considerably simpler – and consequently, cheaper – to build. Results obtained through a simulation study are reported and discussed.