Development of probability of detection data for structural health monitoring damage detection techniques based on acoustic emission

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dc.contributor.authorGagar, Daniel
dc.contributor.authorIrving, Phil E.
dc.contributor.authorJennions, Ian K.
dc.contributor.authorFoote, Peter
dc.contributor.authorRead, Ian
dc.contributor.authorMcFeat, Jim
dc.date.accessioned2016-06-22T10:24:03Z
dc.date.available2016-06-22T10:24:03Z
dc.date.issued2013-12-12
dc.description.abstractStructural Health Monitoring (SHM) techniques have been developed as a cost effective alternative to currently adopted Non-Destructive Testing (NDT) methods which have well understood levels of performance. Quantitative performance assessment, as used in NDT, needs to be applied to SHM techniques to establish their performance levels as a basis for technique comparison and also as a requirement for practical aerospace application according to set regulations. One such measurand is Probability of Detection (POD). This paper reports experiments conducted to investigate the location accuracy of the Acoustic Emission (AE) system in monitoring events from HsuNielson and fatigue crack AE sources as a route to establish the POD of AE in SHM. It was found that fatigue crack tips could be located at 90% POD within 10 mm accuracy.en_UK
dc.identifier.citationGagar, D. et al. (2013) Development of Probability of Detection Data for Structural Health Monitoring Damage Detection Techniques Based on Acoustic Emission, Proceedings of the 8th International Workshop on Structural Heath Monitoring, Stanford, United States of America, 13-15 September 2011, pp. 1391-1398en_UK
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/9993
dc.language.isoenen_UK
dc.publisherStanford Universityen_UK
dc.titleDevelopment of probability of detection data for structural health monitoring damage detection techniques based on acoustic emissionen_UK
dc.typeConference paperen_UK

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