Design of inferential sensors in the process industry: A review of Bayesian methods

S Khatibisepehr, B Huang, S Khare - Journal of Process Control, 2013 - Elsevier
In many industrial plants, development and implementation of advanced monitoring and
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

AD Tripathi, PK Mishra, KK Darani, A Agarwal… - Trends in Food Science & …, 2022 - Elsevier
Background Bio-plastics are eco-friendly biopolymer finding tremendous application in food
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 …

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 …

Open and continuous fermentation: products, conditions and bioprocess economy

T Li, X Chen, J Chen, Q Wu, GQ Chen - Biotechnology journal, 2014 - Wiley Online Library
Microbial fermentation is the key to industrial biotechnology. Most fermentation processes
are sensitive to microbial contamination and require an energy intensive sterilization …

Multiway Gaussian mixture model based multiphase batch process monitoring

J Yu, SJ Qin - Industrial & Engineering Chemistry Research, 2009 - ACS Publications
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 …

Mechanistic fermentation models for process design, monitoring, and control

L Mears, SM Stocks, MO Albaek, G Sin… - Trends in …, 2017 - cell.com
Mechanistic models require a significant investment of time and resources, but their
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 …

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 …

Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data

Y Zhou, F Gao - Journal of Process Control, 2023 - Elsevier
Big Data will revolutionize modern industry by improving process optimization, facilitating
insight discovery, and improving decision-making. This big data revolution presents a …