A heterogeneous benchmark dataset for data analytics: Multiphase flow facility case study-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A heterogeneous benchmark dataset for data analytics: Multiphase flow facility case study

Published:2019-07 Issue: Volume:79 Page:41-55
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Stief Anna,Tan Ruomu,Cao Yi,Ottewill James R.,Thornhill Nina F.,Baranowski Jerzy

Funder

European Union

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Reference34 articles.

1. Optimal steady-state operation of the Tennessee Eastman challenge process;Ricker;Comput. Chem. Eng.,1995

2. Fault-tolerant control of wind turbines: a benchmark model;Odgaard;IEEE Trans. Control Syst. Technol.,2013

3. An extensive reference dataset for fault detection and identification in batch processes;Van Impe;Chemom. Intell. Lab. Syst.,2015

4. Statistical process monitoring of a multiphase flow facility;Ruiz-Cárcel;Control Eng. Pract.,2015

5. Real-time process monitoring of CO2 capture by aqueous AMP-PZ using chemometrics: pilot plant demonstration;Kachko;Ind. Eng. Chem. Res.,2015

Cited by 43 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. Explainable AI methodology for understanding fault detection results during Multi-Mode operations;Chemical Engineering Science;2024-11

2. Design and implementation of an Autonomous Systems Training Environment framework for control algorithm evaluation in autonomous plant operation;Computers & Chemical Engineering;2024-10

3. Industrial process fault diagnosis based on video recognition and multi-source information fusion;Chemical Engineering Research and Design;2024-08

4. DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems;IEEE Internet of Things Journal;2024-07-01

5. Teaching classical machine learning as a graduate-level course in chemical engineering: An algorithmic approach;Digital Chemical Engineering;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