| dc.contributor.author | Chelishchev, Petr | |
| dc.contributor.author | Sørby, Knut | |
| dc.date.accessioned | 2019-04-12T11:04:57Z | |
| dc.date.available | 2019-04-12T11:04:57Z | |
| dc.date.created | 2019-01-16T11:00:12Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Lecture Notes in Electrical Engineering. 2019, 484 (1), 313-321. | nb_NO |
| dc.identifier.issn | 1876-1100 | |
| dc.identifier.uri | http://hdl.handle.net/11250/2594487 | |
| dc.description.abstract | This paper investigates the possibility for reduction of sample size for inspection of two-point diameters with a coordinate measuring machine, by use of statistical methods. The statistical methods implement the parametric and non-parametric statistic. As confirmed by the simulation results it is possible to keep the 95% confidence level with a relatively small data sample. A low sample size would be especially important for an operative online dimension inspection with CNC machine and immediate correction of a suspected part. | nb_NO |
| dc.description.abstract | Optimization of Sample Size for Two-Point Diameter Verification in Coordinate Measurements | nb_NO |
| dc.language.iso | eng | nb_NO |
| dc.publisher | Springer, Singapore | nb_NO |
| dc.relation.ispartofseries | LNEE;volume 484 | |
| dc.title | Optimization of Sample Size for Two-Point Diameter Verification in Coordinate Measurements | nb_NO |
| dc.type | Journal article | nb_NO |
| dc.type | Peer reviewed | nb_NO |
| dc.description.version | acceptedVersion | nb_NO |
| dc.source.pagenumber | 313-321 | nb_NO |
| dc.source.volume | 484 | nb_NO |
| dc.source.journal | Lecture Notes in Electrical Engineering | nb_NO |
| dc.source.issue | 1 | nb_NO |
| dc.identifier.doi | 10.1007/978-981-13-2375-1_39 | |
| dc.identifier.cristin | 1658014 | |
| dc.relation.project | Norges forskningsråd: 235315 | nb_NO |
| dc.description.localcode | Publisher embargo applies until December 12, 2019 | nb_NO |
| cristin.unitcode | 194,64,92,0 | |
| cristin.unitname | Institutt for maskinteknikk og produksjon | |
| cristin.ispublished | true | |
| cristin.fulltext | preprint | |
| cristin.qualitycode | 1 | |
