Accurately Predict Quality and Reduce Variability in Real-Time
Traditional implementation of PAT using spectroscopy can be challenging to implement and maintain, mainly when critical quality measurements are used in closed-loop control strategies. Using spectral analyzers from on-line product samples, DeltaV Spectral PAT’s modern machine learning algorithms and embedded chemometric models can accurately predict product quality for use as on-line quality soft sensors.
Accurately Predict Quality and Reduce Variability in Real-Time
Traditional implementation of PAT using spectroscopy can be challenging to implement and maintain, mainly when critical quality measurements are used in closed-loop control strategies. Using spectral analyzers from on-line product samples, DeltaV Spectral PAT’s modern machine learning algorithms and embedded chemometric models can accurately predict product quality for use as on-line quality soft sensors.