Fault detection and diagnosis in an industrial fed-batch cell culture process.

@article{Gunther2007FaultDA,
  title={Fault detection and diagnosis in an industrial fed-batch cell culture process.},
  author={J. C. Gunther and J. S. Conner and Dale E. Seborg},
  journal={Biotechnology progress},
  year={2007},
  volume={23 4},
  pages={851-7}
}
A flexible process monitoring method was applied to industrial 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 principal component analysis (PCA) model was constructed from 19 NOC batches, and 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… CONTINUE READING

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