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dc.contributor.authorCardona, Carlos Ivancs
dc.contributor.authorTinoco Navarro, Hector Andrescs
dc.contributor.authorPerdomo-Hurtado, Luiscs
dc.contributor.authorLópez-Guzmán, Julianacs
dc.contributor.authorPereira, Daniel A.cs
dc.date.accessioned2021-12-06T11:51:01Z
dc.date.available2021-12-06T11:51:01Z
dc.date.issued2021-10-01cs
dc.identifier.citationApplied Sciences - Basel. 2021, vol. 11, issue 19, p. 1-17.en
dc.identifier.issn2076-3417cs
dc.identifier.other174944cs
dc.identifier.urihttp://hdl.handle.net/11012/203073
dc.description.abstractColombian coffee production is well-known, and selective manual harvesting plays a vital task in guaranteeing high ripe coffee fruit rates in this process, leading to its known worldwide aroma and flavor. To maintain this quality approach, selective harvesting methods based on mechanical vibrations are a promising alternative for developing technologies that could accomplish the challenging Colombian coffee production context. In this study, a vibrations analysis in coffee fruits at three ripening stages was carried out to evaluate the dynamic behavior at two frequency windows: 10 to 100 Hz and 100 to 1000 Hz. Two groups of fruits previously classified in the CIELab color space were chosen for the vibration test study samples. Time and frequency signals were characterized via FFT (fast Fourier transform), and bump wavelets were determined to obtain the frequency-time magnitude scalograms. The measurements were obtained in three degrees of freedom over the fruits: one for measuring the input force (computed in voltage way) and the other two measured by the velocity. The results revealed frequency ranges with specific resonant peaks between 24 and 45 Hz, and close to 700 Hz, where the ripe fruits presented higher magnitudes in the calculated parameters. FFT of the velocity and scaled mechanical impedance were used to estimate these frequency ranges. This work is an important step to identify a "vibrational fingerprint " of each Coffea arabica var. Castillo fruit-ripening stage. However, we consider that more experiments should be performed to reconstruct the modal shape in each resonance. In future studies, fatigue analysis could show which are the most effective frequency ranges to detach the ripe fruits from the perspective of a real selective coffee-harvesting scenario.</p>en
dc.formattextcs
dc.format.extent1-17cs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofApplied Sciences - Baselcs
dc.relation.urihttps://www.mdpi.com/2076-3417/11/19/9346cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectvibration analysisen
dc.subjectcoffeeen
dc.subjectCoffea arabicaen
dc.subjectwaveleten
dc.subjecttime-frequency analysisen
dc.titleVibrations Analysis of the Fruit-Pedicel System of Coffea arabica var. Castillo Using Time-Frequency and Wavelets Techniquesen
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Pokročilé instrumentace a metody pro charakterizace materiálůcs
sync.item.dbidVAV-174944en
sync.item.dbtypeVAVen
sync.item.insts2022.01.20 16:56:08en
sync.item.modts2022.01.20 16:15:35en
dc.coverage.issue19cs
dc.coverage.volume11cs
dc.identifier.doi10.3390/app11199346cs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2076-3417/cs
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Creative Commons Attribution 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International