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Multivariate statistical process control for situation assessment of a sequencing batch reactor

Author
Ruiz, M.; Colomer , J.; Colprim, J.; Meléndez, J.
Type of activity
Presentation of work at congresses
Name of edition
International Conference on Control
Date of publication
2004
Book of congress proceedings
Proceedings of the Control 2004 conference, University of Bath, UK 6-9 September 2004
Repository
http://hdl.handle.net/2117/15911 Open in new window
Abstract
In this work, a combination between Multivariate Statistical Process Control (MSPC) and an automatic classification algorithm is developed to application in Waste Water Treatment Plant. Multiway Principal Component Analysis is used as MSPC method. The goal is to create a model that describes the batch direction and helps to fix the limits used to determine abnormal situations. Then, an automatic classification algorithm is used to situation assessment of the process.
Citation
Ruiz, M. [et al.]. Multivariate statistical process control for situation assessment of a sequencing batch reactor. A: International Conference on Control. "Proceedings of the Control 2004 conference, University of Bath, UK 6-9 September 2004". Bath: 2004.
Group of research
CoDAlab - Control, Dynamics and Applications

Participants

  • Ruiz Ordoñez, Magda Liliana  (author and speaker )
  • Colomer Llinàs, Joan  (author and speaker )
  • Colprim, Jesus  (author and speaker )
  • Meléndez Frigola, Joaquim  (author and speaker )

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