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dc.contributor.advisorIturrioz, Ignaciopt_BR
dc.contributor.authorObal, Bernard Clauspt_BR
dc.date.accessioned2023-05-13T03:26:32Zpt_BR
dc.date.issued2023pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/258014pt_BR
dc.description.abstractThis work consists of the development of software that can identify acoustic emission events faster than the acquisition rate, and use them to compute the evolution of local parameters, which can be used as precursors of local and global collapse. The program was developed in Python, using a moving window with a floating threshold in which events are detected using the Short-Term Energy technique. The end is detected using the Zero-Cross-Rate, and is a part of the program that still needs improvement in accuracy. Overall, the program shows good performance and promising results for event detection and parameter calculation.en
dc.description.abstractResumo não disponível.pt_BR
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.rightsOpen Accessen
dc.subjectAcoustic emissionen
dc.subjectEmissão acústicapt_BR
dc.subjectMineração de dadospt_BR
dc.subjectAutomatic event detectionen
dc.subjectSTE-ZCR techniqueen
dc.titleSoftware implementation for acoustic emission event detection and parameter calculationpt_BR
dc.typeTrabalho de conclusão de graduaçãopt_BR
dc.identifier.nrb001168554pt_BR
dc.degree.grantorUniversidade Federal do Rio Grande do Sulpt_BR
dc.degree.departmentEscola de Engenhariapt_BR
dc.degree.localPorto Alegre, BR-RSpt_BR
dc.degree.date2023pt_BR
dc.degree.graduationEngenharia Mecânicapt_BR
dc.degree.levelgraduaçãopt_BR


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