dc.contributor.author | Folta, Zdeněk | |
dc.contributor.author | Skalný, Pavel | |
dc.contributor.author | Matějka, Petr | |
dc.contributor.author | Trochta, Miroslav | |
dc.contributor.author | Pišťáček, Daniel | |
dc.date.accessioned | 2022-04-04T13:53:18Z | |
dc.date.available | 2022-04-04T13:53:18Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | MM Science Journal. 2021, vol. 2021, p. 5391-5395. | cs |
dc.identifier.issn | 1803-1269 | |
dc.identifier.issn | 1805-0476 | |
dc.identifier.uri | http://hdl.handle.net/10084/145992 | |
dc.description.abstract | This study describes the statistical analysis of peak forces of industrial washing machines. The data source comes from twelve different machines. The measurements are done using a force gauge installed in places for fastening screws. A new software based on LabView has been developed to gauge the acting forces. To determine extreme force values, various probability distributions are applied. Furthermore, a convex combination of lognormal distribution is used in more complicated cases. The parameters of the lognormal mixtures are determined using modified an Expectation-maximization algorithm. Finally, the achieved results are interpreted with regard to the engineering design and to the operating reliability. | cs |
dc.language.iso | en | cs |
dc.publisher | MM Science | cs |
dc.relation.ispartofseries | MM Science Journal | cs |
dc.relation.uri | https://doi.org/10.17973/MMSJ.2021_12_2021106 | cs |
dc.subject | washing machine | cs |
dc.subject | measurements | cs |
dc.subject | force | cs |
dc.subject | distribution | cs |
dc.subject | probability | cs |
dc.title | Probabilistic analysis of the maximal load of industrial machines | cs |
dc.type | article | cs |
dc.identifier.doi | 10.17973/MMSJ.2021_12_2021106 | |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |
dc.description.source | Web of Science | cs |
dc.description.volume | 2021 | cs |
dc.description.lastpage | 5395 | cs |
dc.description.firstpage | 5391 | cs |
dc.identifier.wos | 000730889900001 | |