Multivariate Statistical Process Control and Case-Based Reasoning for situation assessment of Sequencing Batch Reactors

• Autores: Magda Ruiz Ordóñez
• Directores de la Tesis: Jordi Colomer Feliu (dir. tes.)
• Lectura: En la Universitat de Girona ( España ) en 2008
• Idioma: inglés
• Tribunal Calificador de la Tesis: Alberto José Ferrer Riquelme (presid.), Jesús Colprim Galcerán (secret.), Gürkan Sin (voc.), Jean Philippe Steyer (voc.), Ulf Jeppsson (voc.)
• Materias:
  • Ciencias tecnológicas
• Enlaces
  • Tesis en acceso abierto en: TDX
• Resumen

  • ABSRACTThis thesis focuses on the monitoring, fault detection and diagnosis of Wastewater Treatment Plants (WWTP), which are important fields of research for a wide range of engineering disciplines. The main objective is to evaluate and apply a novel artificial intelligent methodology based on situation assessment for monitoring and diagnosis of Sequencing Batch Reactor (SBR) operation. To this end, Multivariate Statistical Process Control (MSPC) in combination with Case-Based Reasoning (CBR) methodology was developed, which was evaluated on three different SBR (pilot and lab-scales) plants and validated on BSM1 plant layout.