Modern day monitoring and control challenges outlined on an industrial-scale benchmark fermentation process-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Modern day monitoring and control challenges outlined on an industrial-scale benchmark fermentation process

Published:2019-11 Issue: Volume:130 Page:106471
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Goldrick Stephen,Duran-Villalobos Carlos A.,Jankauskas Karolis,Lovett David,Farid Suzanne S.,Lennox Barry

Funder

EPSRC

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference42 articles.

1. A plant-wide dynamic model of a continuous pharmaceutical process;Benyahia;Ind. Eng. Chem. Res.,2012

2. A modular simulation package for fed-batch fermentation: penicillin production;Birol;Comput. Chem. Eng.,2002

3. How to pre-process Raman spectra for reliable and stable models?;Bocklitz;Anal. Chim. Acta,2011

4. Industrial experiences with multivariate statistical analysis of batch process data;Chiang;Chemom. Intell. Lab. Syst.,2006

5. Rapid monitoring of antibiotics using Raman and surface enhanced Raman spectroscopy;Clarke;Analyst,2005

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unsupervised Hybrid Models Integrating Deep Autoencoders and Process Controllers’ Models for Enhanced Process Monitoring and Fault Detection;Industrial & Engineering Chemistry Research;2024-08-12

2. Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations;Computers & Chemical Engineering;2024-08

3. A robust semi-supervised learning scheme for development of within-batch quality prediction soft-sensors;Engineering Applications of Artificial Intelligence;2024-07

4. A MATLAB-based simulator for the study of process control of fed-batch yeast fermentations;Education for Chemical Engineers;2024-07

5. AI-based optimal control of fed-batch biopharmaceutical process leveraging deep reinforcement learning;Chemical Engineering Science;2024-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3