Soft analyzers for a sulfur recovery unit
This work deals with the design and implementation of soft sensors for a Sulfur Recovery
Unit (SRU) in a refinery. Soft sensors are mathematical models able to emulate the behavior …
Unit (SRU) in a refinery. Soft sensors are mathematical models able to emulate the behavior …
Soft sensor modeling based on multi-state-dependent parameter models and application for quality monitoring in industrial sulfur recovery process
Soft sensors have gained wide popularity in the industrial processes for online quality
prediction in the recent years. In the case of online deployment, it is important to incorporate …
prediction in the recent years. In the case of online deployment, it is important to incorporate …
Soft sensors for product quality monitoring in debutanizer distillation columns
The paper deals with the design of neural based soft sensors to improve product quality
monitoring and control in a refinery by estimating the stabilized gasoline concentration (C5) …
monitoring and control in a refinery by estimating the stabilized gasoline concentration (C5) …
Data-driven soft sensors in the process industry
P Kadlec, B Gabrys, S Strandt - Computers & chemical engineering, 2009 - Elsevier
In the last two decades Soft Sensors established themselves as a valuable alternative to the
traditional means for the acquisition of critical process variables, process monitoring and …
traditional means for the acquisition of critical process variables, process monitoring and …
Comparison of soft-sensor design methods for industrial plants using small data sets
This paper analyzes a number of strategies that are devoted to improving the generalization
capabilities of neural-network-based soft sensors when only small data sets are available …
capabilities of neural-network-based soft sensors when only small data sets are available …
Soft sensor for continuous product quality estimation (in crude distillation unit)
Due to the strict norm requirements of keeping products in crude refining units within
specifications, laboratory testing and quality control of the products are necessary. Given this …
specifications, laboratory testing and quality control of the products are necessary. Given this …
Soft-sensing estimation of plant effluent concentrations in a biological wastewater treatment plant using an optimal neural network
JF de Canete, P del Saz-Orozco, R Baratti… - Expert Systems with …, 2016 - Elsevier
Recent studies into the estimation and control of an activated sludge process (ASP) at a
wastewater treatment plant suggest that artificial-intelligence methods, such as neural …
wastewater treatment plant suggest that artificial-intelligence methods, such as neural …
Soft sensing modeling based on support vector machine and Bayesian model selection
W Yan, H Shao, X Wang - Computers & chemical engineering, 2004 - Elsevier
Soft sensors have been widely used in industrial process control to improve the quality of
product and assure safety in production. The core of a soft sensor is to construct a soft …
product and assure safety in production. The core of a soft sensor is to construct a soft …
Robust data-driven soft sensor based on iteratively weighted least squares support vector regression optimized by the cuckoo optimization algorithm
M Behnasr, H Jazayeri-Rad - Journal of Natural Gas Science and …, 2015 - Elsevier
In process industries, use of the data-driven soft sensors for the purpose of process control
and monitoring has gained much popularity. Data-driven soft sensors infer the process …
and monitoring has gained much popularity. Data-driven soft sensors infer the process …
A nonlinear soft sensor based on multivariate smoothing procedure for quality estimation in distillation columns
S Park, C Han - Computers & Chemical Engineering, 2000 - Elsevier
An accurate on-line measurement of quality variables are essential for the successful
monitoring and control tasks in chemical process operations. However, due to the …
monitoring and control tasks in chemical process operations. However, due to the …