Finite memory observer for switching system: application to diagnosis
| Autor: | Hocine, Abdelfettah, Maquin, Didier, Ragot, José |
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| Přispěvatelé: | Maquin, Didier, Centre de Recherche en Automatique de Nancy (CRAN), Université Henri Poincaré - Nancy 1 (UHP)-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2004 |
| Předmět: | |
| Zdroj: | Workshop on Advanced Control and Diagnosis Workshop on Advanced Control and Diagnosis, Dec 2004, Karlsruhe, Germany. pp.CDROM |
| Popis: | International audience; In this paper, we develop a fault detection method for switching dynamic systems with unknown inputs. These systems are represented by several linear models, each of them being associated to a particular operation mode. The proposed method is based on the use of Finite Memory Observers and mode probabilities with the aim to finding the operating mode of the system and estimating the unknown input. The resulting method also uses the knowledge of a priori information on the mode transition probabilities represented by a Markov chain. The proposed algorithm belongs to the class of the supervised algorithms where the fault to be detected are a priori indexed and modelled. First, the method is used for fault detection in the case of a linear system characterized by a normal model of operation and several fault models. Then, it applies for fault detection in the case of a linear system with unknown input where state and unknown input estimation are done simultaneously. A comparison with the Generalized Pseudo- Bayesian method is carry out showing the advantages of the suggested method. |
| Databáze: | OpenAIRE |
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