Publication:
Spectral and Statistical Analysis for Damage Detection in Ceramic Materials

dc.contributor.authorAKGÜN, ÖMER
dc.contributor.authorsAkgun, Omer
dc.date.accessioned2022-03-14T10:53:17Z
dc.date.accessioned2026-01-10T16:59:46Z
dc.date.available2022-03-14T10:53:17Z
dc.date.issued2020-02-29
dc.description.abstractIn this study, the internal or superficial cracks that may occur during the production of ceramic plates were determined using the impact noise method. In the industry, ceramic materials are frequently used in areas such as kitchenware and construction. Many different methods are used in the quality control processes of ceramic materials. In this study, the sound produced by the impact applied to the ceramic material was analyzed. As a result of the analysis, the material was found to be undamaged or damaged. This method is called the Impulse Noise method. In this study, damaged and undamaged ceramic plates with different cracks were selected and impact plates were applied to the plates by impact pendulum. The ceramic plates used in the application have the same characteristics and dimensions produced by the same company of the same type. The noise generated as a result of the impact applied to a determined point on the tested materials was examined by Wigner-Ville method which is one of the time-frequency analysis methods. In addition, bispectrum and trispectrum analyzes, which are high-order spectral analysis (HOSA) methods, were used. Statistically, signal analysis with running minimum and maximum, mean value and peak to RMS examinations were also added. The applied methods give good results in differentiating between undamaged and damaged ceramic plates.
dc.identifier.doi10.18280/ts.370102
dc.identifier.eissn1958-5608
dc.identifier.issn0765-0019
dc.identifier.urihttps://hdl.handle.net/11424/245305
dc.identifier.wosWOS:000524986200002
dc.language.isoeng
dc.publisherINT INFORMATION & ENGINEERING TECHNOLOGY ASSOC
dc.relation.ispartofTRAITEMENT DU SIGNAL
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectceramic materials
dc.subjectcrack analysis
dc.subjectimpulse noise method
dc.subjectWigner Ville distribution
dc.subjectbispectrum
dc.subjecttrispectrum
dc.subjectmean value
dc.subjectPeak to RMS
dc.subjectDEFECT DETECTION
dc.titleSpectral and Statistical Analysis for Damage Detection in Ceramic Materials
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage16
oaire.citation.issue1
oaire.citation.startPage9
oaire.citation.titleTRAITEMENT DU SIGNAL
oaire.citation.volume37

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