Citation

BibTex format

@inproceedings{Dobson:2002,
author = {Dobson, JP and Thornhill, NF},
pages = {687--688},
publisher = {IEEE},
title = {Analysis of plant-wide disturbances using conditional entropy},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=1038683&queryText=thornhill+and+dobson},
year = {2002}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Plant-wide disturbances in chemical plants have an impact on product quality and running costs, thus there is a need for automated diagnosis of the root cause. This short paper reports work in progress and preliminary results from a novel signal processing application using conditional entropy. It analyses measurements from normal process operations in a chemical plant to determine cause and effect relationships. The method suggests which measurement is the root cause of a plant-wide disturbance and, additionally, maps the physical structure of the plant.
AU - Dobson,JP
AU - Thornhill,NF
EP - 688
PB - IEEE
PY - 2002///
SP - 687
TI - Analysis of plant-wide disturbances using conditional entropy
UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=1038683&queryText=thornhill+and+dobson
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