A lifecycle operating performance assessment framework for hot strip mill process based on robust kernel canonical variable analysis-Reference-Cited by-同舟云学术

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A lifecycle operating performance assessment framework for hot strip mill process based on robust kernel canonical variable analysis

Published:2021-02 Issue: Volume:107 Page:104698
ISSN:0967-0661
Container-title:Control Engineering Practice
language:en
Short-container-title:Control Engineering Practice

Author:

Zhang Chuanfang^ORCID,Peng Kaixiang,Dong Jie

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the China Central Universities of USTB

National Key R&D Program of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference38 articles.

1. Multi-mode plant-wide process operating performance assessment based on a novel two-level multi-block hybrid model;Chang;Chemical Engineering Research & Design,2018

2. Fault detection for non-Gaussian processes using generalized canonical correlation analysis and randomized algorithms;Chen;IEEE Transactions on Industrial Electronics,2018

3. Fault detection and diagnosis in industrial systems;Chiang,2001

4. Online complex nonlinear industrial process operating optimality assessment using modified robust total kernel partial m-regression;Chu;Chinese Journal of Chemical Engineering,2018

5. Nonlinear process fault diagnosis based on serial principal component analysis;Deng;IEEE Transactions on Neural Networks & Learning Systems,2018

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2. A spatiotemporal synergetic operating performance assessment based on reconstructed correlation matrix and dissimilarity analytics for plant-wide hot strip mill process;Process Safety and Environmental Protection;2024-07

3. A novel approach based on spatio-temporal attention and multi-scale modeling for mechanical failure prediction;Control Engineering Practice;2024-06

4. Spatio-temporal information analytics based performance-driven industrial process monitoring framework with cloud–edge-device collaboration;Journal of Manufacturing Processes;2024-01

5. Exergy-related Operating Performance Assessment for Hot Rolling Process Based on Multiple imputation and Multi-class Support Vector Data Description;2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS);2023-05-08

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