On the topological modeling and analysis of industrial process data using the SOM
作者： Francesco Corona , Michela Mulas , Roberto Baratti , Jose A. Romagnoli
DOI: 10.1016/J.COMPCHEMENG.2010.07.002
关键词:
摘要: In this paper, we overview and discuss the implementation of topology-based approaches to modeling analyzing industrial process data. Emphasis is given representation data obtained with self-organizing map (SOM). The methods are used in visualizing measurements extracting relevant information by exploiting topological structure observations. Benefits SOM presented for a set measured an gas treatment plant. practical goal identify significant operational modes most sensitive variables before developing alternative control strategy. results confirmed that SOM-based approach capable providing valuable offers possibilities direct application other monitoring tasks.
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