dc.contributor.author | Frischer, Robert | |
dc.contributor.author | David, Jiří | |
dc.contributor.author | Švec, Pavel | |
dc.contributor.author | Krejcar, Ondřej | |
dc.date.accessioned | 2015-07-23T06:59:47Z | |
dc.date.available | 2015-07-23T06:59:47Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Metalurgija. 2015, vol. 54, no. 4, p. 667-670. | cs |
dc.identifier.issn | 0543-5846 | |
dc.identifier.issn | 1334-2576 | |
dc.identifier.uri | http://hdl.handle.net/10084/110437 | |
dc.description.abstract | There 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.extent | 159823 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | cs |
dc.publisher | Hrvatsko Metalurško Društvo | cs |
dc.relation.ispartofseries | Metalurgija | cs |
dc.relation.uri | http://hrcak.srce.hr/file/203876 | cs |
dc.title | Usage of analytical diagnostics when evaluating functional surface material defects | cs |
dc.type | article | cs |
dc.rights.access | openAccess | |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |
dc.description.source | Web of Science | cs |
dc.description.volume | 54 | cs |
dc.description.issue | 4 | cs |
dc.description.lastpage | 670 | cs |
dc.description.firstpage | 667 | cs |
dc.identifier.wos | 000356463800017 | |