Sensor Fusion with Irregular Sampling and Varying Measurement Delays-Reference-Cited by-同舟云学术

Sensor Fusion with Irregular Sampling and Varying Measurement Delays

Published:2020-01-10 Issue:6 Volume:59 Page:2328-2340
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Sansana Joel¹,Rendall Ricardo¹,Wang Zhenyu²^ORCID,Chiang Leo H.²,Reis Marco S.¹^ORCID

Affiliation:

1. CIEPQPF−Department of Chemical Engineering, University of Coimbra, Rua Sílvio Lima, Pólo II, 3030-790 Coimbra, Portugal

2. Continuous Improvement Center of Excellence, Dow Inc., Lake Jackson, Texas 77566, United States of America

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.9b05105

Reference30 articles.

1. Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

2. Sansana, J. Simulation, Monitoring and Diagnosis of Faults and Equipment Degradation in Chemical Processes. M.Sc. thesis, Faculty of Sciences and Technology of the University of Coimbra, 2018.

3. Process Model for Styrene and n-Butyl Acrylate Emulsion Copolymerization in Smart-Scale Tubular Reactor

4. Assessing the value of information of data-centric activities in the chemical processing industry 4.0

5. Building Optimal Multiresolution Soft Sensors for Continuous Processes

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