Development of diagnosis system for rolling bearings faults on real time based on FPGA

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dc.contributor.authorKashiwagi, M. [UNESP]
dc.contributor.authorda Costa, C.
dc.contributor.authorMathias, M. H. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionIFSP – Fedral Institute of Science Education and Technology
dc.date.accessioned2022-04-29T08:27:26Z
dc.date.available2022-04-29T08:27:26Z
dc.date.issued2012-04-01
dc.description.abstractThe real-time monitoring of events in an industrial plant is an advanced technique that presents the real conditions of operation of the machinery responsible for the manufacturing process. A predictive maintenance program includes various rotating machinery condition monitoring techniques of the machine to determine the conditions of failure. To increase the operational reliability and to reduce preventive maintenance, it is necessary an efficient tool for analysis and process monitoring, in real time, enabling the detection of incipient faults for rolling bearings. Over the past few years there has been a major technological developments related to digital system, including innovations in both hardware and software. These innovations enable the development of new design methodologies that take into account the ease of future modifications, upgrades and expansions of the designed system. This paper presents a study of new design tools for embedded digital systems based on open hardware architecture with reconfigurable logic. Will be discussed a case study in the area of fault detection of rolling bearings, as well as its implementation and testing.en
dc.description.affiliationDepartment of Mechanical UNESP-Univ Estadual Paulista, Campus of Guaratinguetá
dc.description.affiliationIFSP – Fedral Institute of Science Education and Technology, Campus of Cubatão
dc.description.affiliationUnespDepartment of Mechanical UNESP-Univ Estadual Paulista, Campus of Guaratinguetá
dc.format.extent545-549
dc.identifierhttp://dx.doi.org/10.24084/repqj10.377
dc.identifier.citationRenewable Energy and Power Quality Journal, v. 1, n. 10, p. 545-549, 2012.
dc.identifier.doi10.24084/repqj10.377
dc.identifier.issn2172-038X
dc.identifier.scopus2-s2.0-85051813511
dc.identifier.urihttp://hdl.handle.net/11449/228577
dc.language.isoeng
dc.relation.ispartofRenewable Energy and Power Quality Journal
dc.sourceScopus
dc.subjectDigital signal processing and FPGA
dc.subjectEmbedded system
dc.subjectMechanical vibration
dc.titleDevelopment of diagnosis system for rolling bearings faults on real time based on FPGAen
dc.typeArtigo
unesp.departmentEngenharia Mecânica - FEGpt

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Guaratinguetá - FEG - Faculdade de Engenharia e Ciências