SA-MSIFF: Soft sensing the cement f-CaO content with a self-adaptive multisource information fusion framework in clinker burning process

Author:

Zhao YuchenORCID,Yang Chunjie,Bao Yaoyao,Lou Siwei,Machingura Genius B.,Xiao Hang,Liu Zhe,Huang Bo,Mao Jiayun,Tian Pengwei

Publisher

Elsevier BV

Reference45 articles.

1. The cement industry on the way to a low-carbon future;Schneider;Cem. Concr. Res.,2019

2. An end-to-end multisource information fusion framework for f-CaO content soft sensing in cement clinker burning process;Zhao;IEEE Trans. Instrum. Meas.,2023

3. A systematic approach for soft sensor development;Lin;Comput. Chem. Eng.,2007

4. Development and comparison of neural network based soft sensors for online estimation of cement clinker quality;Pani;ISA Trans.,2013

5. Multisource data ensemble modeling for clinker free lime content estimate in rotary kiln sintering processes;Li;IEEE Trans. Syst. Man Cybern.: Syst.,2015

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