FAULT DETECTION AND DIAGNOSIS USING A HYBRID DYNAMIC SIMULATOR: APPLICATION TO INDUSTRIAL RISK PREVENTION
Résumé
The main tool for the development of hazardous chemical syntheses in the field of fine chemicals and pharmaceuticals 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. The major idea is that the fault must not be undergone but must be controlled. So, this work presents a fault detection and isolation methodology for the monitoring of Hybrid Dynamic Systems. The developed methodology rests on a mixed approach which combines a model-based method for the fault detection and an approach based on data (pattern matching) for the identification of fault(s). It is integrated within a hybrid dynamic simulator. In this paper, the approach is tested during the operation of an exothermic reaction. The major risk of this system is a cooling failure. The objective of the present work is to detect and diagnosis a fault, before it becomes more serious. In this purpose, two simulations are studied, during which a fault of the material feed and a fault of the energy feed are respectively introduced.
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