[HTML][HTML] The role of artificial intelligence-driven soft sensors in advanced sustainable process industries: A critical review

YS Perera, D Ratnaweera, CH Dasanayaka… - … Applications of Artificial …, 2023‏ - Elsevier
With the predicted depletion of natural resources and alarming environmental issues,
sustainable development has become a popular as well as a much-needed concept in …

Prediction of f-CaO content in cement clinker: A novel prediction method based on LightGBM and Bayesian optimization

X Hao, Z Zhang, Q Xu, G Huang, K Wang - Chemometrics and Intelligent …, 2022‏ - Elsevier
The content of free calcium oxide (f-CaO) in cement clinker is an important index affecting
the quality of cement clinker. Because f-CaO content in cement clinker cannot be measured …

Online cement clinker quality monitoring: A soft sensor model based on multivariate time series analysis and CNN

Y Zhao, B Ding, Y Zhang, L Yang, X Hao - ISA transactions, 2021‏ - Elsevier
The content of free calcium oxide (f-CaO) in cement clinker is an important index for cement
quality. Aiming at the characteristics of strong coupling, time-varying delay and highly non …

Multivariate time-series modeling for forecasting sintering temperature in rotary kilns using DCGNet

X Zhang, Y Lei, H Chen, L Zhang… - IEEE Transactions on …, 2020‏ - ieeexplore.ieee.org
The sintering temperature (ST) is a critical index for condition monitoring and process control
of coal-fired equipment and is widely used in the production of cement, aluminum, electricity …

Fault detection and diagnosis in a cement rotary kiln using PCA with EWMA-based adaptive threshold monitoring scheme

A Bakdi, A Kouadri, A Bensmail - Control Engineering Practice, 2017‏ - Elsevier
This paper presents main results of fault detection and diagnosis in a cement manufacturing
plant using a new monitoring scheme. The scheme is based on multivariate statistical …

Virtual sensing f-CaO content of cement clinker based on incremental deep dynamic features extracting and transferring model

L Yao, X Jiang, G Huang, J Qian… - IEEE Transactions …, 2020‏ - ieeexplore.ieee.org
The content of free calcium oxide (f-CaO) in clinker significantly determines the quality of the
final cement production. However, in practice, the value of f-CaO content in clinker is off-line …

A novel support vector machine ensemble model for estimation of free lime content in cement clinkers

X Liu, J **, W Wu, F Herz - ISA transactions, 2020‏ - Elsevier
Free lime (f-CaO) content is a crucial quality parameter for cement clinkers in rotary cement
kiln. Due to lack of hardware sensors, f-CaO content in cement clinker is mostly obtained by …

Model predictive control for systems with fast dynamics using inverse neural models

M Stogiannos, A Alexandridis, H Sarimveis - ISA transactions, 2018‏ - Elsevier
In this work, a novel model predictive control (MPC) scheme is introduced, by integrating
direct and indirect neural control methodologies. The proposed approach makes use of a …

[HTML][HTML] Efficient machine learning model to predict fineness, in a vertical raw meal of Morocco cement plant

F Belmajdoub, S Abderafi - Results in Engineering, 2023‏ - Elsevier
Soft sensor enables computing parameters that can be physically impossible to measure.
This work aims to develop a soft sensor for raw meal fineness in a vertical roller mill of a …

Model-level weight update domain adaptive dynamic CNN soft sensor for free calcium ion concentration in cement clinker

XY Zhou, H Liu, FG Chen, W Zheng, H Li… - … and Intelligent Laboratory …, 2024‏ - Elsevier
The paramount determinant of clinker quality within the cement clinker production process
resides in the precise prediction of F-CAO (free calcium ion) content. Given the intricate …