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Communication Dans Un Congrès Année : 2017

Statistical interpretation and modelling of daily permeability evolution in full-scale membrane bioreactors using fuzzy inference methods

Résumé

A fuzzy inference method was used to model the fouling evolution of a full-scale Membrane Bioreactor (MBR) treating rejection water from the sludge treatment of a water resource recovery facility (WRRF), using a dataset of 1.5 years. The six generated fuzzy rules replicate the fouling evolution with a promising correlation coefficient of 0.7.
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Dates et versions

hal-02787035 , version 1 (05-06-2020)

Identifiants

  • HAL Id : hal-02787035 , version 1
  • PRODINRA : 457075

Citer

E. Suard, Yannick Fayolle, L. Zhang, S. Guerin, Hazaël Jones, et al.. Statistical interpretation and modelling of daily permeability evolution in full-scale membrane bioreactors using fuzzy inference methods. 8. IWA Membrane Technology Conference & Exhibition for Water and Wastewater Treatment and Reuse. IWA-MTC 2017, Sep 2017, Singapour, Singapore. ⟨hal-02787035⟩
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