Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/46338
DC FieldValueLanguage
dc.contributor.authorCecchini, Massimoit
dc.contributor.authorPiccioni, Francescait
dc.contributor.authorFerri, Serenait
dc.contributor.authorColtrinari, Gianlucait
dc.contributor.authorBIANCHINI, LEONARDOit
dc.contributor.authorColantoni, Andreait
dc.date.accessioned2021-12-29T10:15:58Z-
dc.date.available2021-12-29T10:15:58Z-
dc.date.issued2021it
dc.identifier.issn0746-9462it
dc.identifier.urihttp://hdl.handle.net/2067/46338-
dc.description.abstractThis paper aims to investigate failures induced by vibrations on machines, focusing on agricultural ones. The research on literature has brought to light a considerable amount of data on the driven vehicles and not much on the operating machines, including the ones that we looked for. For this reason, it was decided to direct a survey with the people who work with agricultural machinery every day: operators, sub-contractors, and producers. They were asked about the most frequent breakage, particularly in relation to the rotary harrow, the topic of this work. The questionnaire results showed the types of failures the harrow is most vulnerable to, indicating the times of failure and reparation and the need to set up a potentially useful preventive maintenance supporting system on these machines. Part of the work was then focused on the proposition of a method to investigate bearing failures in the rotary harrow, considering that these have been analyzed in the technical literature and in the survey as the most at-risk components. The proposed method in this work serves as a beginning for the development of a future on board sent-shore-based maintenance system for continuous monitoring of the bearing.it
dc.format.mediumELETTRONICOit
dc.language.isoengit
dc.titlePreliminary investigation on systems for the preventive diagnosis of faults on agricultural operating machinesit
dc.typearticle*
dc.identifier.doi10.3390/s21041547it
dc.identifier.pmid33672222it
dc.identifier.scopus2-s2.0-85101316707it
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85101316707it
dc.relation.journalSENSORSit
dc.relation.firstpage1it
dc.relation.lastpage10it
dc.relation.volume21it
dc.relation.issue4it
dc.type.miur262*
item.fulltextWith Fulltext-
item.openairetypearticle-
item.cerifentitytypePublications-
item.grantfulltextrestricted-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.journal.journalissn0746-9462-
crisitem.journal.anceE153470-
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