Nonlinear feature extraction for soft sensor modeling based on weighted probabilistic PCA
As industrial process plants are often instrumented with a large number of sensors, it is
important to carry out feature extraction before soft sensor modeling. Probabilistic principal …
important to carry out feature extraction before soft sensor modeling. Probabilistic principal …
A CFD‐PBM‐PMLM integrated model for the gas–solid flow fields in fluidized bed polymerization reactors
Although the use of computational fluid dynamics (CFD) model coupled with population
balance (CFD‐PBM) is becoming a common approach for simulating gas–solid flows in …
balance (CFD‐PBM) is becoming a common approach for simulating gas–solid flows in …
Melt index prediction by least squares support vector machines with an adaptive mutation fruit fly optimization algorithm
W Wang, X Liu - Chemometrics and Intelligent Laboratory Systems, 2015 - Elsevier
Melt index (MI) plays an important role in determining product specification, and is
influenced by a large number of process variables in the practical manufacturing process of …
influenced by a large number of process variables in the practical manufacturing process of …
Composition prediction of a debutanizer column using equation based artificial neural network model
Debutanizer column is an important unit operation in petroleum refining industries. The
design of online composition prediction by using neural network will help improve product …
design of online composition prediction by using neural network will help improve product …
A soft sensor based on adaptive fuzzy neural network and support vector regression for industrial melt index prediction
M Zhang, X Liu - Chemometrics and Intelligent Laboratory Systems, 2013 - Elsevier
An adaptive soft sensor for online monitoring melt index (MI), an important variable
determining the product quality in the industrial propylene polymerization (PP) process, is …
determining the product quality in the industrial propylene polymerization (PP) process, is …
Development of soft-sensors for online quality prediction of sequential-reactor-multi-grade industrial processes
Reliable online quality prediction of sequential-reactor-multi-grade (SRMG) chemical
processes often encounters different challenges, including process nonlinearity, input …
processes often encounters different challenges, including process nonlinearity, input …
Inferential model for industrial polypropylene melt index prediction with embedded priori knowledge and delay estimation
Melt index inferential model plays an important role in the control and optimization of
polypropylene production. This study proposed a novel multiple-priori-knowledge based …
polypropylene production. This study proposed a novel multiple-priori-knowledge based …
Melt index prediction by RBF neural network optimized with an MPSO-SA hybrid algorithm
J Li, X Liu - Neurocomputing, 2011 - Elsevier
Melt index (MI) is considered as an important quality variable which determines the product
specifications, so reliable estimation of MI is crucial in the quality control of practical …
specifications, so reliable estimation of MI is crucial in the quality control of practical …
Melt index prediction using optimized least squares support vector machines based on hybrid particle swarm optimization algorithm
H Jiang, Z Yan, X Liu - Neurocomputing, 2013 - Elsevier
Melt index (MI) is considered as one of the most important variables of the quality, which
determines the product specifications. Thus, a reliable estimation of MI is crucial in the …
determines the product specifications. Thus, a reliable estimation of MI is crucial in the …
Improved fruit fly optimization algorithm optimized wavelet neural network for statistical data modeling for industrial polypropylene melt index prediction
This paper presents the development of wavelet neural network (WNN) with an improved
fruit fly optimization algorithm (IFOA) for the melt index prediction in the industrial propylene …
fruit fly optimization algorithm (IFOA) for the melt index prediction in the industrial propylene …