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Specifying the directionality of fault propagation paths using transfer entropy

Bauer, M. and Thornhill, N.F. and Meaburn, A. (2004) Specifying the directionality of fault propagation paths using transfer entropy. In: DYCOPS7, Seventh International Symposium of Dynamics and Control of Process Systems, 5-7 July 2004, Cambridge, Massachusetts, USA.

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Abstract

In continuous chemical processes, variations of process variables usually travel along propagation paths in the direction of flow. The aim of this study was to find a data-driven method for identifying the direction of variation propagation using historical process data. Transfer entropy is a recently proposed method based on the probability density function (PDF) that measures directionality of variation with respect to time. An industrial case study illustrates the method which detects the influence of a temperature controller on downstream temperature measurements. A reversal of directionality was noted during a disturbance and a physical explanation offered.

Type:Conference item (Presentation)
Title:Specifying the directionality of fault propagation paths using transfer entropy
Event:DYCOPS7, Seventh International Symposium of Dynamics and Control of Process Systems
Event location:Cambridge, Massachusetts, USA
Event dates:5-7 July 2004
Publication status:Unpublished
Language:English
Keywords:chemical industry, fault diagnosis, plant-wide, probability density function, propagation, statistical process control
UCL Eprints classification:UCL Departments and Research Centres > UCL Engineering Sciences > Department of Electronic and Electrical Engineering

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