Citation

BibTex format

@inproceedings{Thornhill:2005,
author = {Thornhill, NF and Bauer, M and Meaburn, A},
pages = {23--30},
publisher = {IET},
title = {Cause and effect analysis of chemical processes},
url = {http://personal-pages.ps.ic.ac.uk/~nina/Research/ConfPapers/BauerEtAl_IEE_2005.pdf},
year = {2005}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - In continuous chemical processes, disturbances in the process conditions can propagate widely and cause secondary upsets in remote locations. The aim of this paper is to apply some recent data-driven methods for detection and diagnosis of process disturbances using historical process data that have been proving successful in a range of applications. An industrial case study is presented in which a plant-wide control system disturbance caused by the presence of a recycle was successfully located and then verified by further plant testing. © The IEE.
AU - Thornhill,NF
AU - Bauer,M
AU - Meaburn,A
EP - 30
PB - IET
PY - 2005///
SN - 0537-9989
SP - 23
TI - Cause and effect analysis of chemical processes
UR - http://personal-pages.ps.ic.ac.uk/~nina/Research/ConfPapers/BauerEtAl_IEE_2005.pdf
UR - http://hdl.handle.net/10044/1/15171
ER -

Contact us

Nina Thornhill, ABB/RAEng Professor of Process Automation
Centre for Process Systems Engineering
Department of Chemical Engineering
Imperial College London
South Kensington Campus, London SW7 2AZ

Tel: +44 (0)20 7594 6622
Email: n.thornhill@imperial.ac.uk