Condition-based Diagnosis Of Mechatronic Systems Using A Fractional Calculus Approach

dc.creatorGutierrez-Carvajal
dc.creatorRE; de Melo
dc.creatorLF; Rosario
dc.creatorJM; Machado
dc.creatorJAT
dc.date2016
dc.date2016-12-06T18:31:31Z
dc.date2016-12-06T18:31:31Z
dc.date.accessioned2018-03-29T02:04:08Z
dc.date.available2018-03-29T02:04:08Z
dc.identifier1464-5319
dc.identifierInternational Journal Of Systems Science. TAYLOR & FRANCIS LTD, n. 47, n. 9, p. 2169 - 2177.
dc.identifier0020-7721
dc.identifierWOS:000372101500016
dc.identifier10.1080/00207721.2014.978833
dc.identifierhttp://www.tandfonline.com/doi/full/10.1080/00207721.2014.978833
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/320313
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1311079
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionWhile fractional calculus (FC) is as old as integer calculus, its application has been mainly restricted to mathematics. However, many real systems are better described using FC equations than with integer models. FC is a suitable tool for describing systems characterised by their fractal nature, long-term memory and chaotic behaviour. It is a promising methodology for failure analysis and modelling, since the behaviour of a failing system depends on factors that increase the model's complexity. This paper explores the proficiency of FC in modelling complex behaviour by tuning only a few parameters. This work proposes a novel two-step strategy for diagnosis, first modelling common failure conditions and, second, by comparing these models with real machine signals and using the difference to feed a computational classifier. Our proposal is validated using an electrical motor coupled with a mechanical gear reducer.
dc.description47
dc.description
dc.description2169
dc.description2177
dc.descriptionCampinas State University - UNICAMP (Brazil)
dc.descriptionPolytechnic Institute of Porto - ISEP (Portugal)
dc.descriptionNational Council for Scientific and Technological Development - CNPq (Brazil)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description
dc.description
dc.description
dc.languageEnglish
dc.publisherTAYLOR & FRANCIS LTD
dc.publisherABINGDON
dc.relationInternational Journal Of Systems Science
dc.rightsfechado
dc.sourceWOS
dc.subjectIntelligent Maintenance
dc.subjectIntelligent Diagnostics
dc.subjectApplication Of Fractional Calculus
dc.subjectIdentification Of Fractional Order Systems
dc.titleCondition-based Diagnosis Of Mechatronic Systems Using A Fractional Calculus Approach
dc.typeArtículos de revistas


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