Exergy-related Operating Performance Assessment for Hot Rolling Process Based on Multiple imputation and Multi-class Support Vector Data Description-Reference-Cited by-同舟云学术

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Exergy-related Operating Performance Assessment for Hot Rolling Process Based on Multiple imputation and Multi-class Support Vector Data Description

Published:2023-05-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)
language:
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Author:

Zhang Chuanfang¹,Peng Kaixiang¹,Dong Jie¹,Ma Liang¹,Wang Yangfan¹,Hua Dongjie¹

Affiliation:

1. School of Automation and Electrical Engineering, University of Science and Technology,Beijing,PR China,100083

Funder

Natural Science Foundation of China (NSFC)

National Key R&D Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10127967/10127864/10128059.pdf?arnumber=10128059

Reference13 articles.

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

3. Support Vector Data Description

4. Multiple imputations in sample surveys-a phenomenological Bayesian approach to nonresponse;rubin;Proceedings of the Survey Research Methods Section of the American Statistical Association,0

5. Hierarchical Monitoring and Root-Cause Diagnosis Framework for Key Performance Indicator-Related Multiple Faults in Process Industries

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