Log in or Register for enhanced features | Forgotten Password?
White Papers | Suppliers | Events | Report Store | Companies | Dining Club | Drinks | Retail | Videos
Food Business Review
Return to: FBR Home | Suppliers

CAMO Presents the Unscrambler® X: Their Improved Batch Modeling Approach

By CAMO Software

Using Principal Component Analysis, CAMO has developed an improved batch modeling approach.

Through its Unscrambler® X, CAMO has developed an improved batch modeling approach using Principal Component Analysis, accommodating uneven batch lengths and different chemical or biological starting points. The method models the data in relative time, and is also independent of the actual sampling rate between the batches.

Watch CAMO's latest demo video on the industry-changing Unscrambler® X for more insight on this current innovation.

Application Areas:

  • Fermentation
  • Drying
  • Mixing
  • Chemical reactions
  • Industrial production

Selected Features:

  • Modeling of batch progression in relative time.
  • The method is independent of the sampling rate.
  • Any pretreatment of the data e.g. for spectra are stored within the model and applied for new batches.
  • Dynamic limits for scores for individual components and the overall model.
  • Dynamic limits for the residual distance to the model (F-residual statistics).
  • Contribution plot for drill-down functionality

Unscrambler® X: CAMO's Improved Batch Modeling Approach

Figure 1. The batch trajectory from CAMO Software. A model is developed to calculate the confidence limits shown by the dotted lines in the figure. This batch tunnel corresponds to the underlying transition in the process, and new batches can be monitored and deviations from the trajectory can be fed back to the control system.

More Information

Read CAMO's detailed Data Sheet to further explore the Unscrambler® X, or tune into its recorded Webinar. Feel free to also explore CAMO's dedicated product page to glean even more information about this batch modeling approach.