Soft‐sensors application for automated feeding control in high‐throughput mammalian cell cultures
Sign Up to like & getrecommendations! Published in 2022 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.28032
Abstract: The ever‐increasing demand for biopharmaceuticals has created the need for improving the overall productivity of culture processes. One such operational concept that is considered is fed‐batch operations as opposed to batch operations. However, optimal fed‐batch… read more here.
Keywords: culture; cell; high throughput; soft sensor ... See more keywords
A robust soft sensor based on artificial neural network for monitoring microbial lipid fermentation processes using Yarrowia lipolytica
Sign Up to like & getrecommendations! Published in 2022 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.28310
Abstract: Microbial oils produced by Yarrowia lipolytica offer an environmentally friendly and sustainable alternative to petroleum as well as traditional lipids from animals and plants. The accurate measurement of fermentation parameters, including the substrate concentration, dry… read more here.
Keywords: neural network; concentration; soft sensor; fermentation ... See more keywords
A frequency‐localized recursive partial least squares ensemble for soft sensing
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Chemometrics"
DOI: 10.1002/cem.2999
Abstract: We report the use of a frequency‐localized adaptive soft sensor ensemble using the wavelet coefficients of the responses from the physical sensors. The proposed method is based on building recursive, partial least squares soft sensor… read more here.
Keywords: soft sensor; least squares; recursive partial; wavelet ... See more keywords
Soft sensor based on 2D‐fluorescence and process data enabling real‐time estimation of biomass in Escherichia coli cultivations
Sign Up to like & getrecommendations! Published in 2020 at "Engineering in Life Sciences"
DOI: 10.1002/elsc.201900076
Abstract: In bioprocesses, specific process responses such as the biomass cannot typically be measured directly on‐line, since analytical sampling is associated with unavoidable time delays. Accessing those responses in real‐time is essential for Quality by Design… read more here.
Keywords: soft sensor; real time; biomass; process data ... See more keywords
Ensemble‐based adaptive soft sensor for fault‐tolerant biomass monitoring
Sign Up to like & getrecommendations! Published in 2022 at "Engineering in Life Sciences"
DOI: 10.1002/elsc.202100091
Abstract: The accuracy and precision of soft sensors depend strongly on the reliability of underlying model inputs. These inputs (particularly readings of hardware sensors) are frequently subject to faults. This study aims to develop an adaptive… read more here.
Keywords: adaptive soft; ensemble based; biomass; soft sensor ... See more keywords
Sensor-fault tolerance in a wastewater treatment plant by means of ANFIS-based soft sensor and control reconfiguration
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-2901-3
Abstract: Abstract This work presents a sensor-fault-tolerant design applied to a decentralized dissolved oxygen control in an activated sludge process subject to sensor faults such as bias and slow drifts. The core idea is to use… read more here.
Keywords: fault; soft sensor; sensor fault; control ... See more keywords
The soft sensor of the molten steel temperature using the modified maximum entropy based pruned bootstrap feature subsets ensemble method
Sign Up to like & getrecommendations! Published in 2018 at "Chemical Engineering Science"
DOI: 10.1016/j.ces.2018.05.037
Abstract: Abstract The molten steel temperature in ladle furnace is a significant variable, but it is hard to be measured by real-time detection, which has some bad effects on productions. Soft sensors are alternative and effective… read more here.
Keywords: molten steel; soft sensor; temperature; entropy ... See more keywords
An adaptive soft sensor method of D-vine copula quantile regression for complex chemical processes
Sign Up to like & getrecommendations! Published in 2021 at "Chemical Engineering Science"
DOI: 10.1016/j.ces.2020.116210
Abstract: Abstract Non-linear and non-Gaussian properties are challenging topics in the soft sensor modeling of chemical processes, and fluctuations in the environmental conditions of chemical plants will also affect the accuracy of soft sensor models. This… read more here.
Keywords: soft sensor; adaptive soft; sensor method; chemical ... See more keywords
Enhanced just-in-time soft sensor calibration method using data density estimation
Sign Up to like & getrecommendations! Published in 2017 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2016.12.015
Abstract: Abstract Soft sensor is an efficacious solution to predict the hard-to-measure target variable by using the process variables. In practical application scenarios, however, the target feedback cycle is usually larger than that of process variables… read more here.
Keywords: calibration method; method; soft sensor; data density ... See more keywords
Highly-overlapped, recursive partial least squares soft sensor with state partitioning via local variable selection
Sign Up to like & getrecommendations! Published in 2018 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2018.02.006
Abstract: Abstract We report the use of a soft sensor ensemble based on recursive partial least squares with a large number of overlapping models. The proposed method uses process memory attenuation in the ensemble by varying… read more here.
Keywords: state partitioning; sensor; soft sensor; variable selection ... See more keywords
Novel soft sensor development using echo state network integrated with singular value decomposition: Application to complex chemical processes
Sign Up to like & getrecommendations! Published in 2020 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2020.103981
Abstract: Abstract It is of great importance to develop advanced soft sensors for ensuring the safety and stability of complex industrial processes. Unluckily, with the increasing scale of chemical processes, it becomes more and more demanding… read more here.
Keywords: esn; soft sensor; singular value; svd esn ... See more keywords