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dc.contributor.authorAngulo Bahón, Cecilio
dc.contributor.authorGonzález, Gustavo
dc.contributor.authorRaya Giner, Cristóbal
dc.contributor.authorCatalà Mallofré, Andreu
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2010-01-05T12:17:12Z
dc.date.available2010-01-05T12:17:12Z
dc.date.created2007-06
dc.date.issued2007-06
dc.identifier.citationAngulo, C. [et al.]. An OSA-CBM Multi-Agent Vehicle Health Management Architecture for Self-Health Awareness. "International journal of intelligent control and systems", Juny 2007, vol. 12, núm. 2, p. 158-166.
dc.identifier.issn0218-7965
dc.identifier.urihttp://hdl.handle.net/2117/6126
dc.description.abstractIntegrated Vehicle Health Management (IVHM) systems on modern aircraft or autonomous unmanned vehicles should provide diagnostic and prognostic capabilities with lower support costs and amount of data traffic. When mission objectives cannot be reached for the control system since unanticipated operating conditions exists, namely a failure, the mission plan must be revised or altered according to the health monitoring system assessment. Representation of the system health knowledge must facilitate interaction with the control system to compensate for subsystem degradation. Several generic architectures have been described for the implementation of health monitoring systems and their integration with the control system. In particular, the Open System Architecture - Condition-Based Maintenance (OSA-CBM) approach is considered in this work as initial point, and it is evolved in the sense of self-health awareness, by defining an appropriated multi-agent smart health management architecture based on smart device models, communication agents and a distributed control system. A case study about its application on fuel-cells as auxiliary power generator will demonstrate the integration.
dc.format.extent9 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
dc.subject.lcshArtificial intelligence--Engineering applications
dc.titleAn OSA-CBM Multi-Agent Vehicle Health Management Architecture for Self-Health Awareness
dc.typeArticle
dc.subject.lemacAprenentatge automàtic
dc.contributor.groupUniversitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.relation.publisherversionhttp://www.asmemesa.org/IJICS/paper.php?id=81&issue_id=11
dc.rights.accessOpen Access
local.identifier.drac1615033
dc.description.versionPostprint (published version)
local.citation.authorAngulo, C.; González, G.; Raya, C.; Català, A.
local.citation.publicationNameInternational journal of intelligent control and systems
local.citation.volume12
local.citation.number2
local.citation.startingPage158
local.citation.endingPage166


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