Machine Learning for Soft Sensors and an Application in Cement Production

M Stöhr, T Zielke - Smart, Sustainable Manufacturing in an Ever-Changing …, 2023 - Springer
Soft Sensors are predictors for measurements that are difficult or impossible to obtain by
means of a physical sensor. A soft sensor delivers virtual measurements based on several …

[PDF][PDF] Soft sensors for the cement industry–neural network models for kiln and grinding mill

VR Radhakrishnan - Me Three Number T, 2003 - academia.edu
The cement kiln and clinker grinding mills are two of the critical operations in cement
manufacture. The quality parameters of the cement depend on the type and extent of mineral …

Modelling of temperature in the aluminium smelting process using Neural Networks

FM Soares, RCL Oliveira - The 2010 International Joint …, 2010 - ieeexplore.ieee.org
Industries are aiming to become more competitive and enlarge their profits. A good
management is a key factor to accomplish the company's target, however all management …

Computational Intelligence Methodologies for Soft Sensors Development in Industrial Processes

FAA de Souza - 2014 - search.proquest.com
Data-driven soft sensors are inferential models that use on-line available sensors (eg
temperature, pressure, flow rate, etc) to predict quality variables which cannot be …

Neural network soft sensor application in cement industry: Prediction of clinker quality parameters

AK Pani, V Vadlamudi, RJ Bhargavi… - 2011 International …, 2011 - ieeexplore.ieee.org
A soft sensor tries to estimate difficult to measure quality parameters from the knowledge of
easy to measure online process variables. Empirical approach of soft sensor development …

An Algorithm for Soft Sensor Development for a Class of Processes with Distinct Operating Conditions

D Stanišić, L Mejić, B Jorgovanović, V Ilić… - Sensors, 2024 - mdpi.com
Soft sensors are increasingly being used to provide important information about production
processes that is otherwise only available through off-line laboratory analysis. However …

Soft sensor transferability between lines of a sulfur recovery unit

F Curreri, L Patanè, MG Xibilia - IFAC-PapersOnLine, 2021 - Elsevier
Abstract Soft Sensors (SSs) are mathematical models that allow real-time estimation of hard-
to-measure variables as a function of easy-to-measure ones in an industrial process …

A hybrid soft sensing approach of a cement mill using principal component analysis and artificial neural networks

AK Pani, HK Mohanta - 2013 3rd IEEE International Advance …, 2013 - ieeexplore.ieee.org
Soft sensors play an important role in predicting the values of unmeasured process
variables from knowledge of easily measured process variables. Online estimation of …

Data driven soft sensor of a cement mill using generalized regression neural network

AK Pani, KG Amin, HK Mohanta - … International Conference on …, 2012 - ieeexplore.ieee.org
Soft sensors play an important role in predicting the values of unmeasured process
variables from knowledge of easily measured process variables. Most of the present day soft …

Ensemble learning methodologies for soft sensor development in industrial processes

SG Soares - 2015 - estudogeral.uc.pt
Increasing demands for on-line monitoring and control of industrial processes and their
associated variables, and the limitations of the available measuring systems have led to the …