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Authors
Jon C. Gunther, Dale E. Seborg, Jeremy S. Conner

Identifier
None

Index Terms
monitoring,cell culture processes,batch control,process control,biocontrol,biotechnology,multivariable systems

Abstract
Multivariate statistical process monitoring techniques are applied to pilot-plant, cell culture data for the purpose of fault detection and diagnosis. Data from 23 batches, 20 normal operating conditions (NOC) and three abnormal, were available. A PCA model was constructed from 19 NOC batches, while the remaining NOC batch was used for model validation. Subsequently, the model was used to successfully detect (both offline and online) abnormal process conditions and to diagnose the root causes.

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