Enhanced infrared image processing for impacted carbon/glass fiber-reinforced composite evaluation

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dc.contributor.authorZhang, Hai
dc.contributor.authorAvdelidis, Nicolas Peter
dc.contributor.authorOsman, Ahmad
dc.contributor.authorIbarra-Castanedo, Clemente
dc.contributor.authorSfarra, Stefano
dc.contributor.authorFernandes, Henrique
dc.contributor.authorMatikas, Theodore E.
dc.contributor.authorMaldague, Xavier P. V.
dc.date.accessioned2018-01-23T15:27:56Z
dc.date.available2018-01-23T15:27:56Z
dc.date.issued2017-12-26
dc.description.abstractIn this paper, an infrared pre-processing modality is presented. Different from a signal smoothing modality which only uses a polynomial fitting as the pre-processing method, the presented modality instead takes into account the low-order derivatives to pre-process the raw thermal data prior to applying the advanced post-processing techniques such as principal component thermography and pulsed phase thermography. Different cases were studied involving several defects in CFRPs and GFRPs for pulsed thermography and vibrothermography. Ultrasonic testing and signal-to-noise ratio analysis are used for the validation of the thermographic results. Finally, a verification that the presented modality can enhance the thermal image performance effectively is provided.en_UK
dc.identifier.citationHai Zhang, Nicolas P. Avdelidis, Ahmad Osman. Enhanced infrared image processing for impacted carbon/glass fiber-reinforced composite evaluation. Sensors 2018, Vol. 18, Iss. 1, article number 45en_UK
dc.identifier.cris19243234
dc.identifier.issn1424-8220
dc.identifier.urihttp://doi.org/10.3390/s18010045
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12924
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectinfrared thermographyen_UK
dc.subjectpolynomial fittingen_UK
dc.subjectlow-order derivativeen_UK
dc.subjectcompositeen_UK
dc.subjectlow-velocity impacten_UK
dc.titleEnhanced infrared image processing for impacted carbon/glass fiber-reinforced composite evaluationen_UK
dc.typeArticleen_UK

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