In this paper, we overview and discuss the implementation of some topological approaches to modeling and analyzing industrial process data. The discussed methods are used in visualizing process measurements and extracting information by exploiting the metric structure of the observations. Emphasis is given to modeling with the Self- Organizing Map (SOM). The SOM is a standard method for dimensionality reduction and vector quantization equipped with many displays for visualization. Some of the possibilities of the SOM with process data are discussed by exploring measurements from a full-scale gas treatment plant where the goal is to identify important operational modes and sensitive process variables before developing an alternative control strategy.
On the topological analysis of industrial process data using the SOM
BARATTI, ROBERTO;
2009-01-01
Abstract
In this paper, we overview and discuss the implementation of some topological approaches to modeling and analyzing industrial process data. The discussed methods are used in visualizing process measurements and extracting information by exploiting the metric structure of the observations. Emphasis is given to modeling with the Self- Organizing Map (SOM). The SOM is a standard method for dimensionality reduction and vector quantization equipped with many displays for visualization. Some of the possibilities of the SOM with process data are discussed by exploring measurements from a full-scale gas treatment plant where the goal is to identify important operational modes and sensitive process variables before developing an alternative control strategy.
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