Soft Sensor Model for Billet Temperature in Multiple Heating Furnaces Based on Transfer Learning-Reference-Cited by-同舟云学术

Soft Sensor Model for Billet Temperature in Multiple Heating Furnaces Based on Transfer Learning

Published:2023 Issue: Volume:72 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhai Naiju¹^ORCID,Zhou Xiaofeng¹^ORCID,Li Shuai¹^ORCID,Shi Haibo¹^ORCID

Affiliation:

1. Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Institute for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China

Funder

Basic Research Program Project of Shenyang Institute of Automation, Chinese Academy of Sciences

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10103564.pdf?arnumber=10103564

Reference43 articles.

1. Industrial reheating furnaces: A review of energy efficiency assessments, waste heat recovery potentials, heating process characteristics and perspectives for steel industry

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3. A flame imaging based online deep learning model for predicting NOx emissions from an oxy-biomass combustion process

4. Reinforced Multi-Teacher Selection for Knowledge Distillation

5. Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks

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