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Design of inferential sensors in the process industry: A review of Bayesian methods
In many industrial plants, development and implementation of advanced monitoring and
control techniques require real-time measurement of process quality variables. However, on …
control techniques require real-time measurement of process quality variables. However, on …
Hydrothermal treatment of lignocellulose waste for the production of polyhydroxyalkanoates copolymer with potential application in food packaging
Background Bio-plastics are eco-friendly biopolymer finding tremendous application in food
and pharmaceutical industries. Biodegradable polymer-based plastic such as PHAs …
and pharmaceutical industries. Biodegradable polymer-based plastic such as PHAs …
[KİTAP][B] Chemical reactor design and control
WL Luyben - 2007 - books.google.com
Chemical Reactor Design and Control uses process simulators like Matlab®, Aspen Plus,
and Aspen Dynamics to study the design of chemical reactors and their dynamic control …
and Aspen Dynamics to study the design of chemical reactors and their dynamic control …
Manufacturing of short-chain fructooligosaccharides: from laboratory to industrial scale
MJ Sánchez-Martínez, S Soto-Jover, V Antolinos… - Food Engineering …, 2020 - Springer
Short-chain fructooligosaccharides (ScFOS) are a group of linear fructose oligomers that
include 1-kestose, 1-nystose and 1-β-fructofuranosylnystose. ScFOS, which naturally occur …
include 1-kestose, 1-nystose and 1-β-fructofuranosylnystose. ScFOS, which naturally occur …
Open and continuous fermentation: products, conditions and bioprocess economy
Microbial fermentation is the key to industrial biotechnology. Most fermentation processes
are sensitive to microbial contamination and require an energy intensive sterilization …
are sensitive to microbial contamination and require an energy intensive sterilization …
Multiway Gaussian mixture model based multiphase batch process monitoring
A novel batch process monitoring approach is proposed in this article to handle batch
processes with multiple operation phases. The basic idea is to combine the Gaussian …
processes with multiple operation phases. The basic idea is to combine the Gaussian …
Mechanistic fermentation models for process design, monitoring, and control
Mechanistic models require a significant investment of time and resources, but their
application to multiple stages of fermentation process development and operation can make …
application to multiple stages of fermentation process development and operation can make …
A Bayesian inference based two-stage support vector regression framework for soft sensor development in batch bioprocesses
J Yu - Computers & chemical engineering, 2012 - Elsevier
Inherent process and measurement uncertainty has posed a challenging issue on soft
sensor development of batch bioprocesses. In this paper, a new soft sensor modeling …
sensor development of batch bioprocesses. In this paper, a new soft sensor modeling …
Online batch/fed-batch process performance monitoring, quality prediction, and variable-contribution analysis for diagnosis
C Ündey, S Ertunç, A Çınar - Industrial & engineering chemistry …, 2003 - ACS Publications
An integrated online multivariate statistical process monitoring (MSPM), quality prediction,
and fault diagnosis framework is developed for batch processes. Batch data from I batches …
and fault diagnosis framework is developed for batch processes. Batch data from I batches …
Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data
Big Data will revolutionize modern industry by improving process optimization, facilitating
insight discovery, and improving decision-making. This big data revolution presents a …
insight discovery, and improving decision-making. This big data revolution presents a …