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EnglishIn this paper we propose a solution to the model-based fault diagnosis problem for the class of non-linear dynamic systems subjected to be described by a Takagi-Sugeno fuzzy model. A fuzzy observer is designed to estimate the system's state vector and to derive a diagnostic signal-residual. The residual is generated by the comparison of the measured and the estimated outputs. The proposed scheme has been satisfactorily tested in simulation and in a real-time benchmark given by a Two-Tank Hydraulic System.
| Titolo: | On the Fault Diagnosis Problem for Non-linear Systems: A Fuzzy Sliding-Mode Observer Approach | |
| Autori: | ||
| Data di pubblicazione: | 2009 | |
| Rivista: | ||
| Abstract: | In this paper we propose a solution to the model-based fault diagnosis problem for the class of non-linear dynamic systems subjected to be described by a Takagi-Sugeno fuzzy model. A fuzzy observer is designed to estimate the system's state vector and to derive a diagnostic signal-residual. The residual is generated by the comparison of the measured and the estimated outputs. The proposed scheme has been satisfactorily tested in simulation and in a real-time benchmark given by a Two-Tank Hydraulic System. | |
| Handle: | http://hdl.handle.net/11697/12523 | |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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