An open source fluid catalytic cracker - fractionator model to support the development and benchmarking of process control, machine learning and operation strategies-Reference-Cited by-同舟云学术

An open source fluid catalytic cracker - fractionator model to support the development and benchmarking of process control, machine learning and operation strategies

Published:2022-08 Issue: Volume:164 Page:107900
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Santander Omar,Kuppuraj Vidyashankar,Harrison Christopher A.,Baldea Michael^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference49 articles.

1. Ali, E., 2004. FCC Simulink module. http://faculty.ksu.edu.sa/Emad.Ali/Pages/SimulinkModule.aspx, last accessed 11/15/2017.

2. Modelling and control of a riser type fluid catalytic cracking (FCC) unit;Ali;Chem. Eng. Res. Des.,1997

3. 5 lump kinetic model for gas oil catalytic cracking;Ancheyta-Juarez;Appl. Catal., A,1999

4. Modelling FCC units under steady and unsteady state conditions;Arandes;Can. J. Chem. Eng.,2000

5. Dynamic and control of fluidized catalytic crackers. 1. Modeling of the current generation of FCC’s;Arbel;Ind. Eng. Chem. Res.,1995

Cited by 14 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. Design and implementation of an Autonomous Systems Training Environment framework for control algorithm evaluation in autonomous plant operation;Computers & Chemical Engineering;2024-10

2. Exploring machine learning applications in chemical production through valorization of biomass, plastics, and petroleum resources: A comprehensive review;Journal of Analytical and Applied Pyrolysis;2024-06

3. Anomaly Detection Based on Data Super-Resolution in Industrial Cyber–Physical Systems With Multirate Sampling;IEEE Sensors Journal;2024-05-15

4. Advanced plant-wide control design tools applied to the fluid catalytic cracker-fractionator benchmark;Chemical Engineering Science;2024-04

5. Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey;Processes;2024-01-24