Characterisation and classification of gas-liquid two-phase flow using conductivity probe and multiple optical sensors

Abstract

Attempts have been made for identification and classification of regimes for upward air-water two-phase flow fusing the response from multiple sensors. A needle type conductivity probe and different combinations of optical probes have been employed. The statistical signatures of the signals have been used for identification of the type of flow and revealing some information regarding the interfacial structure. The signals have further been processed using Principal Component Analysis (PCA) and used to classify the flow regime by k-mean clustering algorithm. Classifications have been made using signals from different individual sensors as well as combining them. Finally, the performance of the predictions made by these sensor combinations have been made using confusion matrix.