Monitoring of a sequencing batch reactor using adaptive multiblock principal component analysis.

@article{Lee2003MonitoringOA,
  title={Monitoring of a sequencing batch reactor using adaptive multiblock principal component analysis.},
  author={Dae Sung Lee and Peter A. Vanrolleghem},
  journal={Biotechnology and bioengineering},
  year={2003},
  volume={82 4},
  pages={489-97}
}
Multiway principal component analysis (MPCA) for the analysis and monitoring of batch processes has recently been proposed. Although MPCA has found wide applications in batch process monitoring, it assumes that future batches behave in the same way as those used for model identification. In this study, a new monitoring algorithm, adaptive multiblock MPCA, is developed. The method overcomes the problem of changing process conditions by updating the covariance structure recursively. A historical… CONTINUE READING