Blind Sparse Deconvolution of Regularly Spaced Ultrasonic Echoes for Thickness Measurement

dc.contributor.author Bourguignon, Sébastien
dc.contributor.author Carcreff, Ewen
dc.contributor.author Lin, Chunze
dc.contributor.author Peng, Jiafan
dc.date 2018-02-17T22:44:16.000
dc.date.accessioned 2020-06-30T06:53:18Z
dc.date.available 2020-06-30T06:53:18Z
dc.date.issued 2016-01-01
dc.description.abstract <p>We present a method for estimating the thickness of thin materials from ultrasonic data, in the context of coating measurement or thickness estimation of tubes and pipes. When sending an ultrasonic pulse in normal incidence in a homogeneous material, a set of regularly spaced echoes is received. Thickness is then obtained from the estimation of the time delay between echoes. If thin structures are inspected (or if a low frequency transducer is used), then echoes may overlap. Then, visual interpretation is made difficult and standard automatic methods may fail. We propose a blind sparse deconvolution approach to this problem, where data are modeled as the convolution of a spike train with an unknown impulse response that corresponds to the shape of the echoes. The specific structure of the spike train (regularly spaced spikes with geometrically decreasing amplitudes) is taken into account and the echoes are modeled with a frequency modulated Gaussian signal. Joint estimation of all parameters is performed by non-linear least-squares minimization, with specific constraints, initialization and optimization procedure that aim to avoid local minima. Results are presented on simulated data and in application to thickness estimation of aluminum plates with 2mm and 1mm thickness.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/qnde/2016/abstracts/201/
dc.identifier.articleid 4952
dc.identifier.contextkey 9245475
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath qnde/2016/abstracts/201
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/61952
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/qnde/2016/abstracts/201/159_Blind_Sparse.pdf|||Fri Jan 14 22:19:45 UTC 2022
dc.subject.disciplines Acoustics, Dynamics, and Controls
dc.subject.disciplines Materials Science and Engineering
dc.subject.disciplines Mechanical Engineering
dc.title Blind Sparse Deconvolution of Regularly Spaced Ultrasonic Echoes for Thickness Measurement
dc.type event
dc.type.genre event
dspace.entity.type Publication
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