Using correlation in MFM model design and validation
Author
Summary, in English
Industrial process signals do affect one other. However, causal dependencies, or corre-lation, and thereby consequences of control actions cannot always be understood by the operator, which may lead to accidents. Models explain dependencies and are mostly built on process knowledge and blueprints, while causalities are visible in the measurements and ought to be used to increase process under-standing. In this paper we will discuss why the cross-correlation technique is insufficient for causality detection in industrial processes and we will present a new method that, for instance, can be used to validate the design of multilevel flow models. Keywords: Correlation, multilevel flow model, fault detection, alarm analysis.
Publishing year
2004
Language
English
Publication/Series
Proceedings AILS-04 Workshop
Document type
Conference paper
Topic
- Electrical Engineering, Electronic Engineering, Information Engineering
Conference name
Joint SAIS/SSLS Workshop, 2004
Conference date
2004-04-15 - 2004-04-16
Conference place
Lund, Sweden
Status
Published
ISBN/ISSN/Other
- ISSN: 1650-1276