Data reconciliation: a robust approach using contaminated distribution. Application in mineral processing for multicomponent products

Moustapha Alhaj-Dibo (1) , Didier Maquin (1) , José Ragot (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

On-line optimisation provides a means for maintaining a process around its optimum operating plant. An important component of optimisation relies in data reconciliation which is used for obtaining consistent data. On a mathematical point of view, the formulation is generally based on the assumption that the measurement errors have normally pdf with zero mean. Unfortunately, in the presence of gross errors, all of the adjustments are greatly affected by such biases and would not be considered as reliable indicators of the state of the process. This paper proposes a data reconciliation strategy that deals with the presence of such gross errors. Application to size flowrates and concentration data in mineral processing is provided.

Keywords: mass balance; data reconciliation; robust estimation; gross errors; outliers

Domains: Automatic

Moustapha Alhaj-Dibo, Didier Maquin, José Ragot. Data reconciliation: a robust approach using contaminated distribution. Application in mineral processing for multicomponent products. 11th IFAC Symposium on Automation in Mining, Mineral and Metal processing, MMM 2004, Sep 2004, Nancy, France. pp.CDROM. ⟨hal-00151294⟩