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Recent progress in intelligent vehicle health monitoring

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dc.contributor.authorCole, I. S.en
dc.contributor.authorCorrigan, P.en
dc.contributor.authorGanther, W. D.en
dc.contributor.authorGalea, S.en
dc.date.accessioned2026-06-11T08:40:41Z
dc.date.available2026-06-11T08:40:41Z
dc.date.issued2013en
dc.description.abstractBoeing, CSIRO and DSTO are collaborating on research into Intelligent Health Monitoring for Aerospace Vehicles (IHMAV). The system has the ability both to predict the probable development of corrosion and to elucidate the environmental factors that are promoting corrosion. The paper discusses the system capabilities, data output including the data derived from previous monitoring programs on B-707. In particular this data established the connection between local microclimate and corrosion events and highlights variations in microclimate and corrosion that can occur for different spaces in an airframe and different airframes.en
dc.description.statusPeer-revieweden
dc.format.extent7en
dc.identifier.isbn9783037857151en
dc.identifier.issn1013-9826en
dc.identifier.otherORCID:/0000-0001-6582-1457/work/217149531en
dc.identifier.scopus84880397764en
dc.identifier.urihttps://hdl.handle.net/1885/733810425
dc.language.isoenen
dc.publisherTrans Tech Publications Ltd.en
dc.relation.ispartofStructural Health Monitoring: Research and Applicationsen
dc.relation.ispartofseries4th Asia-Pacific Workshop on Structural Health Monitoringen
dc.relation.ispartofseriesKey Engineering Materialsen
dc.subjectCorrosionen
dc.subjectMicroclimateen
dc.subjectPrognosticsen
dc.subjectSensingen
dc.subjectStructural health monitoringen
dc.titleRecent progress in intelligent vehicle health monitoringen
dc.typeConference paperen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage363en
local.bibliographicCitation.startpage357en
local.contributor.affiliationCole, I. S.; CSIROen
local.contributor.affiliationCorrigan, P.; CSIROen
local.contributor.affiliationGanther, W. D.; CSIROen
local.contributor.affiliationGalea, S.; Defence Science & Technology Groupen
local.identifier.doi10.4028/www.scientific.net/KEM.558.357en
local.identifier.essn1662-9795en
local.identifier.pure9c4d1540-a8e2-47eb-9074-166706697272en
local.identifier.urlhttps://www.scopus.com/pages/publications/84880397764en
local.type.statusPublisheden

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