Título:
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Hybrid Automaton Incremental Construction for Online Diagnosis
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Autor/a:
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Vento Maldonado, Jorge; Travé-Massuyès, Louise; Sarrate Estruch, Ramon; Puig Cayuela, Vicenç
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
Abstract:
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This paper proposes a method to track the system
mode and diagnose a hybrid system without building
an entire diagnoser off-line. The method is
supported by a hybrid automaton model that represents
the hybrid system continuous and discrete
behavioral dynamics. Diagnosis is performed by
interpreting the events and measurements issued
by the physical system directly on the hybrid automaton
model. This interpretation leads to building
the useful parts of the diagnoser incrementally,
developing only the branches that are required
to explain the occurrence of the incoming
events. The resulting diagnoser adapts to the system
operational life and is much less demanding
in terms of memory storage. The proposed framework
subsumes previous works in that it copes
with both structural and non-structural faults. The
method is validated on an application case study
based on the sewer network of the Barcelona city. |
Abstract:
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Peer Reviewed |
Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Automàtica i control -Automatons -Diagnosi -Automàtica -Diagnòstic |
Derechos:
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Tipo de documento:
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Artículo - Versión presentada Objeto de conferencia |
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