Matches in SemOpenAlex for { <https://semopenalex.org/work/W2018677635> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2018677635 endingPage "248" @default.
- W2018677635 startingPage "242" @default.
- W2018677635 abstract "Abstract It’s difficult to predict the dynamic error for coordinate measurement machine (CMM) by analyzing the error sources, because they are very complicated and have unknown interaction. In this paper an innovative modeling method is proposed by integrating 3B spline (3BS) transformation and orthogonal projection partial least squares (OPPLS). Three dimensional coordinates and direct computer control (DCC) parameters including positioning velocity, approaching distance and contacting velocity are used as the original independent variables of the model. The nonlinear relationship between the original independent variables and the CMM dynamic measurement errors is worked out by 3B spline transform. Then the orthogonal projection is used to build a new explanatory matrix by eliminating the components which are irrelative to the dependent variables. Finally, the operation of partial least-squares regression can be used to reduce the dimension and estimate the model parameters. With the proposed modeling method the nonlinear relationship between the independent variables and the dynamic measurement errors can be worked out without analyzing the error sources and their interactions. Besides, the problem of multi-collinearity caused by too many explanatory variables can also be overcome. The experimental results show that the mean square error of 3BS-OPPLS model is smaller than the 3B spline-partial least squares (3BS-PLS) model without the orthogonal projection, and the prediction accuracy of the model is notably improved." @default.
- W2018677635 created "2016-06-24" @default.
- W2018677635 creator A5032178818 @default.
- W2018677635 creator A5040824234 @default.
- W2018677635 creator A5069732276 @default.
- W2018677635 date "2012-08-31" @default.
- W2018677635 modified "2023-09-26" @default.
- W2018677635 title "Modeling CMM Dynamic Measuring Error Based on the 3B-Spline Orthogonal Projection Partial Least Squares" @default.
- W2018677635 cites W200709748 @default.
- W2018677635 cites W2015901623 @default.
- W2018677635 cites W2075349543 @default.
- W2018677635 cites W2078953594 @default.
- W2018677635 cites W2083506502 @default.
- W2018677635 cites W2087810004 @default.
- W2018677635 cites W2313589634 @default.
- W2018677635 cites W2320831295 @default.
- W2018677635 cites W2328229810 @default.
- W2018677635 cites W2353521283 @default.
- W2018677635 cites W2375366759 @default.
- W2018677635 cites W2901031466 @default.
- W2018677635 doi "https://doi.org/10.4156/aiss.vol4.issue15.29" @default.
- W2018677635 hasPublicationYear "2012" @default.
- W2018677635 type Work @default.
- W2018677635 sameAs 2018677635 @default.
- W2018677635 citedByCount "0" @default.
- W2018677635 crossrefType "journal-article" @default.
- W2018677635 hasAuthorship W2018677635A5032178818 @default.
- W2018677635 hasAuthorship W2018677635A5040824234 @default.
- W2018677635 hasAuthorship W2018677635A5069732276 @default.
- W2018677635 hasBestOaLocation W20186776352 @default.
- W2018677635 hasConcept C10390562 @default.
- W2018677635 hasConcept C105795698 @default.
- W2018677635 hasConcept C11413529 @default.
- W2018677635 hasConcept C127413603 @default.
- W2018677635 hasConcept C154945302 @default.
- W2018677635 hasConcept C175694140 @default.
- W2018677635 hasConcept C22354355 @default.
- W2018677635 hasConcept C28826006 @default.
- W2018677635 hasConcept C33923547 @default.
- W2018677635 hasConcept C41008148 @default.
- W2018677635 hasConcept C57493831 @default.
- W2018677635 hasConcept C66938386 @default.
- W2018677635 hasConceptScore W2018677635C10390562 @default.
- W2018677635 hasConceptScore W2018677635C105795698 @default.
- W2018677635 hasConceptScore W2018677635C11413529 @default.
- W2018677635 hasConceptScore W2018677635C127413603 @default.
- W2018677635 hasConceptScore W2018677635C154945302 @default.
- W2018677635 hasConceptScore W2018677635C175694140 @default.
- W2018677635 hasConceptScore W2018677635C22354355 @default.
- W2018677635 hasConceptScore W2018677635C28826006 @default.
- W2018677635 hasConceptScore W2018677635C33923547 @default.
- W2018677635 hasConceptScore W2018677635C41008148 @default.
- W2018677635 hasConceptScore W2018677635C57493831 @default.
- W2018677635 hasConceptScore W2018677635C66938386 @default.
- W2018677635 hasIssue "15" @default.
- W2018677635 hasLocation W20186776351 @default.
- W2018677635 hasLocation W20186776352 @default.
- W2018677635 hasOpenAccess W2018677635 @default.
- W2018677635 hasPrimaryLocation W20186776351 @default.
- W2018677635 hasRelatedWork W1984538277 @default.
- W2018677635 hasRelatedWork W2008606603 @default.
- W2018677635 hasRelatedWork W2021666199 @default.
- W2018677635 hasRelatedWork W2035038244 @default.
- W2018677635 hasRelatedWork W2381365988 @default.
- W2018677635 hasRelatedWork W2388494794 @default.
- W2018677635 hasRelatedWork W2510190685 @default.
- W2018677635 hasRelatedWork W2791001823 @default.
- W2018677635 hasRelatedWork W4221140039 @default.
- W2018677635 hasRelatedWork W4299570446 @default.
- W2018677635 hasVolume "4" @default.
- W2018677635 isParatext "false" @default.
- W2018677635 isRetracted "false" @default.
- W2018677635 magId "2018677635" @default.
- W2018677635 workType "article" @default.