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Monitoring of Hybrid Dynamic Systems: Application to Chemical Process

  • Nelly Olivier-Maget
  • Gilles Hetreux
Chapter

Abstract

These works present 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 divided into three parts: The first part concerns the reconstruction of the state of the system, thanks to the extended Kalman filter and the generation of the residuals by comparison between the predicted behaviour (obtained thanks to the simulation of the reference model) and the real observed behaviour (estimated by the extended Kalman filter).The second part exploits these residuals for the generation of a synthetic structure: the non-binary signatures. The last part deals with the diagnosis of the fault and is based on a problem of pattern matching: the signature obtained in the previous part is compared with the theoretical fault signatures by means of distance. Its use is illustrated by the studies of diagnosis problems in the field of Chemical Process System Engineering.

Keywords

Fault detection and diagnosis Hybrid dynamic systems Generation of non-binary signatures Manhattan distance Extended Kalman filter 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Laboratoire de Génie Chimique, Université de Toulouse, CNRSToulouseFrance

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