Fault detection and isolation for industrial risk prevention

Fault detection and isolation for industrial risk prevention

Nelly Olivier-Maget Gilles Hetreux 

Laboratoire de Génie Chimique, UMR-5503 (INPT/CNRS/UPS) 4, Allée Emile Monso, BP 84234 F-31432 Toulouse, France

Corresponding Author Email: 
nelly.olivier@ensiacet.fr, gilles.hetreux@ensiacet.fr
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The main tool for the development of hazardous chemical syntheses remains the batch reactor. Nevertheless, even if it offers the required flexibility and versatility, this reactor presents technological limitations. In particular, poor transfer of the heat generated by exothermic chemical reactions is a serious problem with regard to safety. In this context, a simple failure is considered as prejudicial. So, fault detection and diagnosis are studied with a particular attention in the scientific and industrial community. This work presents a fault detection and isolation methodology. The developed methodology rests on a mixed approach which combines a model-based method for the fault detection and a pattern matching approach for the identification. It is integrated within a hybrid dynamic simulator. In this paper, the approach is tested during the operation of an exothermic reaction. 


fault detection and isolation, extended Kalman filter, dynamic hybrid simulation, model based method, risk assessment

1. Introduction
2. Exothermic chemical reaction
3. Fault detection and isolation methodology
4. Results
5. Conclusion

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