Analysis of generalized bilinear systems. Application to diagnosis

José Ragot (1) , Didier Maquin (1) , Mohamed Darouach (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

In this survey, the authors try to summarize the various aspects of data reconciliation, to point out the main difficulties and to present the state of the art in this field specially for systems described by generalized bilinear models. In parctice, these models are used to describe conservation of material in total flow and partial flows for different chemical or minerallurgical species. The authors present the steps of the data reconciliation problem in the following order; techniques of data reconciliation, classification of the data by the observability concept, gross error detection and localisation, variance of measurement error estimation, sensor positioning.

Keywords: Data reconciliation; analytical redundancy; observability; gross error detection; variance estimation; model based fault detection

Domains: Automatic

José Ragot, Didier Maquin, Mohamed Darouach. Analysis of generalized bilinear systems. Application to diagnosis. IMACS Symposium on Modelling and Control of Technological Systems, MCTS'91, May 1991, Lille, France. pp.528-535. ⟨hal-00315737⟩