ECT-based soft-sensing technique in flow regime of gas-liquid two-phase flow

Based on Electrical capacitance tomography (ECT), a softsensing model used to identify flow regimes of gasliquid twophase flow is proposed.Using neural network technique, a mathematic relation between the second variable (the character parameters extracted from ECT sensor outputs) and primary variable (the flow regime of gasliquid twophase flow) of the softsensing model is established. Then the flow regime of gasliquid flow can be identified online. The simulation result shows that the proposed method has good identification precision and fast identification speed, which means it is an effective tool in twophase flow pattern online identification.