Modelling the Measurement Uncertainty by Intervals

dc.creatorWilke,Fabiana
dc.creatorFranciosi,Beatriz Regina Tavaresg
dc.creatorOliveira,Paulo Werlang Werlang
dc.creatorClaudio,Dalcidio
dc.date1998
dc.date.accessioned2024-02-06T12:49:22Z
dc.date.available2024-02-06T12:49:22Z
dc.descriptionThis paper presents a proposal of measuring uncertain modelling referred to a geometrical model obtained from a Coordinate Measuring Machine (CMM). The measurement of objects by CMM is achieved considering a particular region of measurement described through a set of finitely many points which defines the ideal reference mesh and it is exposed to, at least, three kinds of error: systematical, aleatory and rounding error. For each point of this mesh is associated the measure error bounds. Those ones have two components: error direction, and error numerical value. The measure error bound identification, as showed in this paper, makes possible to know about the best region to measure a specific object with smallest error bound.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-004-01-0082
dc.identifierhttps://lib.jucs.org/article/27462/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/7320
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 4(1): 82-88
dc.subjectmathematical modelling
dc.subjectinterval computing
dc.subjectmeasure uncertainty
dc.subjectco-ordinate measure machine
dc.titleModelling the Measurement Uncertainty by Intervals
dc.typeResearch Article
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