Multivariate Methods for Process Knowledge Discovery: The Power to Know Your Process
- Topics:
- Chemical
- Tags:
- Knowledge,
- Method,
- SAS Institute
- Source:
- SAS Institute
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Overview: Knowing the relationship between the input and output variables of a process is critical to process monitoring, prediction, and optimization. Powerful methods for multivariate process modeling, which address the large volumes of data available in modern manufacturing environments, have been developed by chemometricians and are being applied within the chemical process industries. This paper provides an introduction to these methods, which are based on projection to latent structures. It discusses the implementation of these methods with the SAS System and illustrates them with financial indicators used to monitor firms in a regulatory system.
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Format: PDF | Size: 618KB | Date: Mar 2001 | Pages: 12
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