Fault detection and isolation using viability theory and interval observers
This paper proposes the use of interval observers and viability theory in fault detection and isolation (FDI). Viability theory develops mathematical and algorithmic methods for investigating the viability constraints characterisation of dynamic evolutions of complex systems under uncertainty. These...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/130077 |
| Acceso en línea: | https://hdl.handle.net/2117/130077 https://dx.doi.org/10.1080/00207721.2018.1454536 |
| Access Level: | acceso abierto |
| Palabra clave: | System failures (Engineering) Automatic control System theory Fault detection fault isolation interval observer viability theory Control automàtic Errors de sistemes (Enginyeria) Sistemes, Teoria de Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| Sumario: | This paper proposes the use of interval observers and viability theory in fault detection and isolation (FDI). Viability theory develops mathematical and algorithmic methods for investigating the viability constraints characterisation of dynamic evolutions of complex systems under uncertainty. These methods can be used for checking the consistency between observed and predicted behaviour by using simple sets that approximate the exact set of possible behaviour (in the parameter or state space). In this paper, FDI is based on checking for an inconsistency between the measured and predicted behaviours using viability theory concepts and sets. Finally, an example is provided in order to show the usefulness of the proposed approach |
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