A Flow Rate Estimation Method for Gas-liquid Two-Phase Flow Based on Transformer Neural Network

Yuxiao Jiang1; Hao Wang2; Yinyan Liu3; Lihui Peng4; Yanan Zhang5; Bing Chen5; Yi Li1

2024

10.1109/JSEN.2024.3419121

IEEE Sensors Journal   影响因子和分区

2379-9153

Accurately estimating the flow rate of gas-liquid two-phase flow is crucial for reducing costs, improving efficiency, and optimizing management in multiphase industries. However, due to the inherent complexity of multiphase flow, this task remains highly challenging. In this paper, we propose a flow rate estimation method for gas-liquid two-phase flow based on Transformer neural network (TNN). The proposed method utilizes Transformer encoder layers to extract flow rate features and effectively fuses these features at various levels through the stacking of layer outputs. Compared with previous methods based on recurrent neural network (RNN), this method can process data more effectively in parallel by extracting flow rate features through the self-attention mechanism. Experimental results show that the proposed method achieves more accurate flow rate estimation across various performance indicators, comparing with other deep learning-based models. In the robustness experiments against noise, the proposed method shows good robustness, demonstrating its significant potential in accurately estimating flow rates in gas-liquid two-phase flow scenarios.

EI

其他

ENGINEERING

1.Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
2.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China
3.School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, Sydney, NSW, Australia
4.Department of Automation, Tsinghua University, Beijing, China
5.Kunlun Digital Technology Co., Ltd, Southern University of Science and Technology, Beijing, China

Yuxiao Jiang,Hao Wang,Yinyan Liu,et al. A Flow Rate Estimation Method for Gas-liquid Two-Phase Flow Based on Transformer Neural Network[J]. IEEE Sensors Journal,2024,PP(99).

Yuxiao Jiang.,Hao Wang.,Yinyan Liu.,Lihui Peng.,Yanan Zhang.,...&Yi Li.(2024).A Flow Rate Estimation Method for Gas-liquid Two-Phase Flow Based on Transformer Neural Network.IEEE Sensors Journal,PP(99).

Yuxiao Jiang,et al."A Flow Rate Estimation Method for Gas-liquid Two-Phase Flow Based on Transformer Neural Network".IEEE Sensors Journal PP.99(2024).