Using Discoverant with Umetrics SIMCA-P

Aegis' Discoverant and SIMCA-P+ can work together to solve complex multivariate problems using latent variable techniques. Discoverant’s data access platform enables easy access to discrete and continuous data from multiple data sources. Its complimentary analytical capabilities and data processing tools are used to derive new parameters “on-the-fly” for use in SIMCA-p+.. In this example you will see how Discoverant's data access capabilities and analytical tools are used to extract meaningful features from continuous data and provide new and useful derived parameters together with existing process parameters for use in SIMCA-P+ to build a Partial Least Squares (PLS) model. This PLS model enables improved process understanding that can be used as the basis for recommendations for how to improve the outcome of a manufacturing process.   

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