Design of a multi-model observer-based estimator for Fault Detection and Isolation (FDI) strategy: application to a chemical reactor

Brazilian Journal of Chemical Engineering

Y. Chetouani¹ 

[1] ,Université de RouenMont Saint Aignan Cedex,France

关键词: Safety;    Reliability;    Risk assessment;    FDI method;    Model-based approach;    Extended Kalman Filter (EKF);   

DOI  :  10.1590/S0104-66322008000400015

来源: SciELO

【 摘 要 】

This study presents a FDI strategy for nonlinear dynamic systems. It shows a methodology of tackling the fault detection and isolation issue by combining a technique based on the residuals signal and a technique using the multiple Kalman filters. The usefulness of this combination is the on-line implementation of the set of models, which represents the normal mode and all dynamics of faults, if the statistical decision threshold on the residuals exceeds a fixed value. In other cases, one Extended Kalman Filter (EKF) is enough to estimate the process state. After describing the system architecture and the proposed FDI methodology, we present a realistic application in order to show the technique's potential. An algorithm is described and applied to a chemical process like a perfectly stirred chemical reactor functioning in a semi-batch mode. The chemical reaction used is an oxido reduction one, the oxidation of sodium thiosulfate by hydrogen peroxide.

【 授权许可】

CC BY   
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