Multiphase Flowrate Measurement With Multimodal Sensors and Temporal Convolutional Network

Author:

Wang Haokun1ORCID,Hu Delin1ORCID,Zhang Maomao2ORCID,Li Nan3ORCID,Yang Yunjie1ORCID

Affiliation:

1. SMART Group, School of Engineering, The University of Edinburgh, Edinburgh, U.K

2. Tsinghua Shenzhen International Graduate School, Shenzhen, China

3. AIMCNT, School of Automation, Northwestern Polytechnical University, Xi’an, China

Funder

Data Driven Innovation Chancellor’s Fellowship and LeEngStar Ltd

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

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1. Gas-Liquid Multiphase Flow Measurement in Venturi Tube Through Data-Driven Modelling;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20

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3. A Flowrate Estimation Method for Gas–Water Two-Phase Flow Based on Multimodal Sensors and Hybrid LSTM-CNN Model;IEEE Transactions on Instrumentation and Measurement;2024

4. Planar Array of Electrical Capacitance Tomography With Rotation;IEEE Sensors Journal;2023-06-15

5. Physics-informed multi-fidelity learning-driven imaging method for electrical capacitance tomography;Engineering Applications of Artificial Intelligence;2022-11

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