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dc.contributor.authorFrischer, Robert
dc.contributor.authorDavid, Jiří
dc.contributor.authorŠvec, Pavel
dc.contributor.authorKrejcar, Ondřej
dc.date.accessioned2015-07-23T06:59:47Z
dc.date.available2015-07-23T06:59:47Z
dc.date.issued2015
dc.identifier.citationMetalurgija. 2015, vol. 54, no. 4, p. 667-670.cs
dc.identifier.issn0543-5846
dc.identifier.issn1334-2576
dc.identifier.urihttp://hdl.handle.net/10084/110437
dc.description.abstractThere are occurring defects due to defects mechanisms on parts of production devices surfaces. Outer defects pronouncement is changing throw the time with unequal speed. This variability of defect’s mechanism development cause that is impossible to evaluate technical state of the device in any moment, without the necessary underlying information. Proposed model is based on analytical diagnostics basis. Stochastic model with usage of Weibull probability distribution can assign probability of function surface defect occurrence on the operational information in any moment basis. The knowledge of defect range limiting moment, then enable when and in what range will be necessary to make renewal.cs
dc.format.extent159823 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoencs
dc.publisherHrvatsko Metalurško Društvocs
dc.relation.ispartofseriesMetalurgijacs
dc.relation.urihttp://hrcak.srce.hr/file/203876cs
dc.titleUsage of analytical diagnostics when evaluating functional surface material defectscs
dc.typearticlecs
dc.rights.accessopenAccess
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume54cs
dc.description.issue4cs
dc.description.lastpage670cs
dc.description.firstpage667cs
dc.identifier.wos000356463800017


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