Title:
Methods And Systems For Detecting Defects In Welded Structures Utilizing Pattern Matching

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dc.contributor.patentcreator Ume, Ifeanyi Charles
dc.contributor.patentcreator Li, Renfu
dc.contributor.patentcreator Rogge, Matthew
dc.contributor.patentcreator Wu, Tsun-yen
dc.date.accessioned 2017-05-12T14:29:19Z
dc.date.available 2017-05-12T14:29:19Z
dc.date.filed 8/3/2009
dc.date.issued 9/4/2012
dc.description.abstract A method for processing ultrasonic response signals collected from a plurality of measurement locations along a weld to determine the presence of a defect in the weld may include filtering an ultrasonic response signal from each of the measurement locations to produce a filtered response signal for each of the measurement locations. Thereafter, an ultrasonic energy for each of the measurement locations is calculated with the corresponding filtered response signal. The ultrasonic energy for each measurement location is then compared to the ultrasonic energy of adjacent measurement locations to identify potential defect locations. When the ultrasonic energy of a measurement location is less than the ultrasonic energy of the adjacent measurement locations, the measurement location is a potential defect location. The presence of a defect in the weld is then determined by analyzing fluctuations in the ultrasonic energy at measurement locations neighboring the potential defect locations.
dc.description.assignee Georgia Tech Research Corporation
dc.identifier.cpc G01N29/11
dc.identifier.cpc G01N29/449
dc.identifier.cpc G01N2291/0258
dc.identifier.patentapplicationnumber 12/534296
dc.identifier.patentnumber 8256296
dc.identifier.uri http://hdl.handle.net/1853/58074
dc.identifier.uspc 73/627
dc.title Methods And Systems For Detecting Defects In Welded Structures Utilizing Pattern Matching
dc.type Text
dc.type.genre Patent
dspace.entity.type Publication
local.contributor.corporatename Georgia Institute of Technology
local.relation.ispartofseries Georgia Tech Patents
relation.isOrgUnitOfPublication cc30e153-7a64-4ae2-9b1d-5436686785e3
relation.isSeriesOfPublication 0f49c79d-4efb-4bd9-b060-5c7f9191b9da
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