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Monitoring a Sequencing Batch Reactor for the Treatment of Wastewater by a Combination of Multivariate Statistical Process Control and a Classification Technique

In: Frontiers in Statistical Quality Control 8

Author

Listed:
  • Magda Ruiz

    (University of Girona)

  • Joan Colomer

    (University of Girona)

  • Joaquim Melendez

    (University of Girona)

Abstract

Summary A combination of Multivariate Statistical Process Control (MSPC) and an automatic classification algorithm is applied to monitor a Waste Water Treatment Plant (WWTP). The goal of this work is to evaluate the capabilities of these techniques for assessing the actual state of a WWTP. The research was performed in a pilot WWTP operating with a Sequencing Batch Reactor (SBR). The results obtained refer to the dependence of process behavior with environmental conditions and the identification of specific abnormal operating conditions. It turned out that the combination of tolls yields better classifications compared with those obtained by using methods based on Partial Least Squares.

Suggested Citation

  • Magda Ruiz & Joan Colomer & Joaquim Melendez, 2006. "Monitoring a Sequencing Batch Reactor for the Treatment of Wastewater by a Combination of Multivariate Statistical Process Control and a Classification Technique," Springer Books, in: Hans-Joachim Lenz & Peter-Theodor Wilrich (ed.), Frontiers in Statistical Quality Control 8, pages 263-282, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-1687-7_16
    DOI: 10.1007/3-7908-1687-6_16
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