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Fuzzy determination of informative frequency band for bearing fault detection

dc.contributor.authorLi, Chuan
dc.contributor.authorOliveira, José Valente de
dc.contributor.authorSanchez, Rene-Vinicio
dc.contributor.authorCerrada, Mariela
dc.contributor.authorZurita, Grover
dc.contributor.authorCabrera, Diego
dc.date.accessioned2017-04-07T15:57:34Z
dc.date.available2017-04-07T15:57:34Z
dc.date.issued2016
dc.description.abstractDetecting early faults in rolling element bearings is a crucial measure for the health maintenance of rotating machinery. As faulty features of bearings are usually demodulated into a high-frequency band, determining the informative frequency band (IFB) from the vibratory signal is a challenging task for weak fault detection. Existing approaches for IFB determination often divide the frequency spectrum of the signal into even partitions, one of which is regarded as the IFB by an individual selector. This work proposes a fuzzy technique to select the IFB with improvements in two aspects. On the one hand, an IFB-specific fuzzy clustering method is developed to segment the frequency spectrum into meaningful sub-bands. Considering the shortcomings of the individual selectors, on the other hand, three commonly-used selectors are combined using a fuzzy comprehensive evaluation method to guide the clustering. Among all the meaningful sub-bands, the one with the minimum comprehensive cost is determined as the IFB. The bearing faults, if any, can be detected from the demodulated envelope spectrum of the IFB. The proposed fuzzy technique was evaluated using both simulated and experimental data, and then compared with the state-of-the-art peer method. The results indicate that the proposed fuzzy technique is capable of generating a better IFB, and is suitable for detecting bearing faults.
dc.description.sponsorshipGrant of the CTBU (1456023)
dc.identifier.doi10.3233/IFS-162097
dc.identifier.issn1064-1246
dc.identifier.otherAUT: JVO01594;
dc.identifier.urihttp://hdl.handle.net/10400.1/9752
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIOS Press
dc.relation.isbasedonWOS:000375954300041
dc.titleFuzzy determination of informative frequency band for bearing fault detection
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage3525
oaire.citation.issue6
oaire.citation.startPage3513
oaire.citation.titleJournal of Intelligent and Fuzzy Systems
oaire.citation.volume30
person.familyNameLUÍS VALENTE DE OLIVEIRA
person.givenNameJOSÉ
person.identifier.ciencia-id1F12-C1D3-7717
person.identifier.orcid0000-0001-5337-5699
rcaap.rightsopenAccess
rcaap.typearticle
relation.isAuthorOfPublicationbb726e73-690c-4a33-822e-c47bdac3035b
relation.isAuthorOfPublication.latestForDiscoverybb726e73-690c-4a33-822e-c47bdac3035b

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