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

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dc.contributor.author Gagar, Daniel
dc.contributor.author Irving, Phil E.
dc.contributor.author Jennions, Ian K.
dc.contributor.author Foote, Peter
dc.contributor.author Read, Ian
dc.contributor.author McFeat, Jim
dc.date.accessioned 2016-06-22T10:24:03Z
dc.date.available 2016-06-22T10:24:03Z
dc.date.issued 2013-12-12
dc.identifier.citation Gagar, 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. 1391-1398 en_UK
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/9993
dc.description.abstract Structural 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.language.iso en en_UK
dc.publisher Stanford University en_UK
dc.title Development of probability of detection data for structural health monitoring damage detection techniques based on acoustic emission en_UK
dc.type Conference paper en_UK


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