Just-In-Time Learning Based Functional Spectral Data Modeling for In-Situ Measurement of Slurry Component Concentrations via Infrared Spectroscopy-Reference-Cited by-同舟云学术

Just-In-Time Learning Based Functional Spectral Data Modeling for In-Situ Measurement of Slurry Component Concentrations via Infrared Spectroscopy

Published:2023 Issue: Volume:72 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Liu Jingxiang¹^ORCID,Liu Tao²^ORCID,Mu Guoqing³^ORCID,Shang Chao⁴^ORCID

Affiliation:

1. School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China

2. Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education and the Institute of Advanced Control Technology, Dalian University of Technology, Dalian, China

3. School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China

4. Department of Automation, Tsinghua University, Beijing, China

Funder

NSF China

Open Funding Project from the Key Laboratory of Intelligent Control and Optimization of Industrial Equipment, Ministry of Education

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10113352.pdf?arnumber=10113352

Reference26 articles.

1. Near infrared spectroscopy: A mature analytical technique with new perspectives – A review

2. Novel adaptive sample space expansion approach of NIR model for in-situ measurement of gasoline octane number in online gasoline blending processes

3. Semi-Supervised Learning-Based Calibration Model Building of NIR Spectroscopy for In Situ Measurement of Biochemical Processes Under Insufficiently and Inaccurately Labeled Samples

4. Wavelet based calibration model building of NIR spectroscopy for in-situ measurement of granule moisture content during fluidized bed drying

5. Near-infrared spectroscopy (NIRS) for a real time monitoring of the biogas process

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