Finding the Direction of Disturbance Propagation in a Chemical Process Using Transfer Entropy
| Autor: | Margret Bauer, J.J. Downs, M.H. Caveness, Nina F. Thornhill, John W. Cox |
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| Rok vydání: | 2007 |
| Předmět: |
Chemical process
Engineering business.industry Conditional probability Observable Probability density function Control and Systems Engineering Control theory Control system Process control Directionality Transfer entropy Statistical physics Electrical and Electronic Engineering business GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) |
| Zdroj: | IEEE Transactions on Control Systems Technology. 15:12-21 |
| ISSN: | 1063-6536 |
| DOI: | 10.1109/tcst.2006.883234 |
| Popis: | In continuous chemical processes, variations of process variables usually travel along propagation paths in the direction of the control path and process flow. This paper describes a data-driven method for identifying the direction of propagation of disturbances using historical process data. The novel concept is the application of transfer entropy, a method based on the conditional probability density functions that measures directionality of variation. It is sensitive to directionality even in the absence of an observable time delay. Its performance is studied in detail and default settings for the parameters in the algorithm are derived so that it can be applied in a large scale setting. Two industrial case studies demonstrate the method |
| Databáze: | OpenAIRE |
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