Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin-Reference-Cited by-同舟云学术

Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin

Published:2021-09 Issue:9 Volume:7 Page:1274-1281
ISSN:2095-8099
Container-title:Engineering
language:en
Short-container-title:Engineering

Author:

Zhou Heng,Yang Chunjie,Sun Youxian

Publisher

Elsevier BV

Subject

General Engineering,Energy Engineering and Power Technology,Materials Science (miscellaneous),General Chemical Engineering,Environmental Engineering,General Computer Science

Reference30 articles.

1. Robust principal component pursuit for fault detection in a blast furnace process;Pan;Ind Eng Chem Res,2018

2. Datadriven nonlinear subspace modeling for prediction and control of molten iron quality indices in blast furnace ironmaking;Zhou;IEEE Trans Control Syst Technol,2017

3. Data mining and analytics in the process industry: the role of machine learning;Ge;IEEE Access,2017

4. Linear priors mined and integrated for transparency of blast furnace black-box svm model;Chen;IEEE Trans Industr Inform,2020

5. Recursive learning-based bilinear subspace identification for online modeling and predictive control of a complicated industrial process;Zhou;IEEE Access,2020

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Status, challenges, and prospects of energy efficiency improvement methods in steel production: A multi-perspective review;Energy;2024-09

2. Artificial intelligence in digital twins—A systematic literature review;Data & Knowledge Engineering;2024-05

3. Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems;Archives of Computational Methods in Engineering;2024-03-25

4. Artificial Intelligence in Digital Twins - a Systematic Literature Review;2024

5. Evolution of Digital Twin in Manufacturing Application: Definition, Architecture, Applications, and Tools;Springer Series in Advanced Manufacturing;2024