Feature extraction using frequency spectrum and time domain analysis of vibration signals to monitoring advanced ceramic in grinding process

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dc.contributor.authorJunior, Pedro O. C. [UNESP]
dc.contributor.authorAguiar, Paulo R. [UNESP]
dc.contributor.authorFoschini, Cesar R. [UNESP]
dc.contributor.authorFranca, Thiago V. [UNESP]
dc.contributor.authorRibeiro, Danilo M. S. [UNESP]
dc.contributor.authorFerreira, Fabio I. [UNESP]
dc.contributor.authorLopes, Wenderson N. [UNESP]
dc.contributor.authorBianchi, Eduardo C. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-04T12:35:13Z
dc.date.available2019-10-04T12:35:13Z
dc.date.issued2019-01-01
dc.description.abstractNew alternatives for monitoring the ceramic grinding process have been studied. Monitoring vibration signals is one of the most successful methods because some characteristics that describe the behaviour and influence of the process on ground parts are only noticeable by studying such signals. This study aims to monitor the finishing of advanced ceramics during the surface grinding process via digital processing of the vibration signals. Experimental tests were performed using a surface tangential grinding machine with a diamond grinding wheel and alumina (Al2O3) test specimens. The vibration signal was measured by an accelerometer and recorded by an oscilloscope at a 2 MHz sampling rate. The tests were conducted at different depths of cut for two workpiece speeds (v(w)) under mild and severe machining conditions. Confocal microscopy and surface roughness R-a measurements were performed after grinding each workpiece to classify the samples. Digital signal processing was performed to achieve feature extraction. A frequency range of 800 Hz-2 kHz was most strongly related to the post-grinding ceramic condition. A correlation was found between vibration and integrity of the ceramic workpiece because the vibration signal was proportional to the surface roughness for each cutting depth used. To support the conclusion presented, a statistical analysis through variance by analysis of variance was performed.en
dc.description.affiliationSao Paulo State Univ, Dept Elect Engn, Av Engn Luiz Edmundo C Coube 14-01, Bauru, Brazil
dc.description.affiliationSao Paulo State Univ, Dept Mech Engn, Av Engn Luiz Edmundo C Coube 14-01, Bauru, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Dept Elect Engn, Av Engn Luiz Edmundo C Coube 14-01, Bauru, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Dept Mech Engn, Av Engn Luiz Edmundo C Coube 14-01, Bauru, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCNPq: 306677/2013-0
dc.format.extent1-8
dc.identifierhttp://dx.doi.org/10.1049/iet-smt.2018.5178
dc.identifier.citationIet Science Measurement & Technology. Hertford: Inst Engineering Technology-iet, v. 13, n. 1, p. 1-8, 2019.
dc.identifier.doi10.1049/iet-smt.2018.5178
dc.identifier.issn1751-8822
dc.identifier.lattes1922357184842767
dc.identifier.orcid0000-0003-1300-4978
dc.identifier.urihttp://hdl.handle.net/11449/185404
dc.identifier.wosWOS:000457800500001
dc.language.isoeng
dc.publisherInst Engineering Technology-iet
dc.relation.ispartofIet Science Measurement & Technology
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectfeature extraction
dc.subjecttime-frequency analysis
dc.subjectceramics
dc.subjectgrinding
dc.subjectgrinding machines
dc.subjectprocess monitoring
dc.subjectvibrational signal processing
dc.subjectdiamond
dc.subjectalumina
dc.subjectaccelerometers
dc.subjectoscilloscopes
dc.subjectmachining
dc.subjectoptical microscopy
dc.subjectsurface roughness
dc.subjectsurface topography measurement
dc.subjectstatistical analysis
dc.subjectproduction engineering computing
dc.subjectfrequency spectrum analysis
dc.subjecttime domain analysis
dc.subjectadvanced ceramic grinding process monitoring
dc.subjectvibration signals monitoring
dc.subjectsurface grinding process
dc.subjectvibration signals digital processing
dc.subjectsurface tangential grinding machine
dc.subjectdiamond grinding wheel
dc.subjectalumina test specimens
dc.subjectaccelerometer
dc.subjectoscilloscope
dc.subjectworkpiece speeds
dc.subjectmild machining conditions
dc.subjectsevere machining conditions
dc.subjectconfocal microscopy
dc.subjectsurface roughness measurements
dc.subjectpost-grinding ceramic condition
dc.subjectfrequency 800 Hz to 2 kHz
dc.subjectAl2O3
dc.subjectC
dc.titleFeature extraction using frequency spectrum and time domain analysis of vibration signals to monitoring advanced ceramic in grinding processen
dc.typeArtigo
dcterms.rightsHolderInst Engineering Technology-iet
unesp.author.lattes1099152007574921[8]
unesp.author.lattes1922357184842767[3]
unesp.author.orcid0000-0003-2675-4276[8]
unesp.author.orcid0000-0003-1300-4978[3]

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