Abstract: In Situ FT-IR Quantitative Analysis of Amine Concentration and CO<sub>2</Sub> Loading Amount in Mixture Solvent Using Deep Neural Network (2018 AIChE Annual Meeting)

527861 In Situ FT-IR Quantitative Analysis of Amine Concentration and CO₂ Loading Amount in Mixture Solvent Using Deep Neural Network

Yo Sung Yoon, chemical & Biomolecular engineering, KAIST, Daejeon, Korea, Republic of (South) and Jay H. Lee, Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, Republic of (South)

See more of this Session: Process Monitoring & Fault Detection
See more of this Group/Topical: Computing and Systems Technology Division

527861 In Situ FT-IR Quantitative Analysis of Amine Concentration and CO2 Loading Amount in Mixture Solvent Using Deep Neural Network

527861 In Situ FT-IR Quantitative Analysis of Amine Concentration and CO₂ Loading Amount in Mixture Solvent Using Deep Neural Network