Double-elbow method is a kind of gas-solid two phase flow solid mass flow measurement which is based on elbow single-phase flow measuring principle

the nonlinear relationship between the measurement results and the input parameters is very complex

directly affect the measurement precision. Based on the principle of doubleelbow method of measuring mass flow

using the powerful nonlinear mapping ability of artificial neural network

a BP network soft measurement model is established which with additional momentum term; on gas-solid two-phase flow measurement experimental platform study is carried out. Using the experimental datas as sample

train this model

simulation results are in good consistency with the experimental datas

measurement error is within 6 %

provides an effective method for online measuring pulverized coal mass flow.