Dynamic Soft Sensor Model for Endpoint Carbon Content and Temperature in Bof Steelmaking Based on Adaptive Balanced Joint Distribution Alignment Domain Adaptation with Variational Autoencoder

Author:

Liu Zhaoxiang,Liu Hui,Chen Fugang,Li Heng,Xue Xiaojun

Publisher

Elsevier BV

Reference40 articles.

1. Endpoint prediction model for basic oxygen furnace steel-making based on membrane algorithm evolving extreme learning machine;Min Han;Applied Soft Computing,2014

2. Prediction of lime utilization ratio of dephosphorization in bof steelmaking based on online sequential extreme learning machine with forgetting mechanism;Runhao Zhang;International Journal of Minerals, Metallurgy and Materials,2024

3. Toward learning steelmaking-a review on machine learning for basic oxygen furnace process;Maryam Khaksar Ghalati;Materials Genome Engineering Advances,2023

4. Intelligent control method and application for bof steelmaking process;Tao Jun;IFAC Proceedings Volumes,2002

5. A review of end-point carbon prediction for bof steelmaking process;Zhou Wang;High Temperature Materials and Processes,2020

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