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A Fractional Order Identification of a Mechanical Transmission System with Known Failures

dc.contributor.authorGutiérrez, R.
dc.contributor.authorRosário, J. M.
dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2019-04-16T10:31:32Z
dc.date.available2019-04-16T10:31:32Z
dc.date.issued2011-11
dc.description.abstractTo compete in the global market the manufacturers must introduce new high quality products in short time. This ideal requires a fast evaluation of new products and the guarantee of availability of the critical machines in a production line, typically by reducing the maintenance shut-downs. Roughly, the diagnosis’ process consist in comparing the machine’s actual behavior with the known one under a specific (common) failure, namely monitoring any change of its dynamics. Unfortunately, the manufacturers rarely supply any dynamical model and consequently it is identified using naive transfer function structures of integer order. In this respective, we evaluate an integer second order model and a similar structure of a fractional one to identify a system under different types of failures. The fractional order model outperforms the integer one, suggesting that it represents better the machine condition when using compact equations.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13580
dc.language.isoengpt_PT
dc.titleA Fractional Order Identification of a Mechanical Transmission System with Known Failurespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceCoimbra, Portugalpt_PT
oaire.citation.endPage118pt_PT
oaire.citation.startPage109pt_PT
oaire.citation.titleSymposium On Fractional Signals and Systemspt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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