Sensor fault detection and diagnosis using zonotopic set -memberbership estimation
| Autor: | Eduardo F. Camacho, S. Ben Chabane, Didier Dumur, Teodoro Alamo, C. Stoica Maniu |
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| Přispěvatelé: | Supélec Sciences des Systèmes [Gif-sur-Yvette] (E3S), SUPELEC, Universidad de Sevilla, Supélec Sciences des Systèmes (E3S), Ecole Supérieure d'Electricité - SUPELEC (FRANCE) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Estimation
0209 industrial biotechnology Noise (signal processing) zonotopes 020208 electrical & electronic engineering 02 engineering and technology Fault detection algorithm Fault (power engineering) Fault detection and isolation bounded measurement noise [SPI.AUTO]Engineering Sciences [physics]/Automatic Set (abstract data type) 020901 industrial engineering & automation Control theory Bounded function Index Terms-Fault detection set-membership estimation 0202 electrical engineering electronic engineering information engineering bounded perturbation State (computer science) Computer Science::Distributed Parallel and Cluster Computing Mathematics |
| Zdroj: | 22nd Mediterranean Conference on Control and Automation 22nd Mediterranean Conference on Control and Automation, Jun 2014, Palermo, Italy. pp.CR-Rom Proceedings, ⟨10.1109/MED.2014.6961381⟩ MED |
| DOI: | 10.1109/MED.2014.6961381⟩ |
| Popis: | International audience; This paper proposes new sensor fault detection algorithms for linear discrete-time systems with bounded perturbations and bounded measurement noise. This fault detection technique is based on a zonotopic set-membership estimation method. The first proposed fault detection algorithm allows to detect the presence of a fault. A second algorithm leading to guaranteed state estimation in the presence of sensor faults is developed, sometimes leading to conservative results. Thereafter, the last proposed algorithm allows to reduce the conservativeness while offering an estimation of the state closer to the real state of the faulty system. An illustrative example is analyzed to show the performance of the proposed algorithms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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