Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367728090> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4367728090 endingPage "395" @default.
- W4367728090 startingPage "390" @default.
- W4367728090 abstract "In the context of Industry 4.0, large volumes of manufacturing data are available on instrumented machine-tool. The critical point is the exploitation of this digital content. Data contextualization is important for efficient and robust data mining, particularly for industrial production. For this purpose, a classification method of the operational manufacturing context is proposed. It relies on knowledge integration (by business rules) and unsupervised machine learning, with a Gaussian Mixture Model, applied to in-process monitoring signals. The method was evaluated on real industrial machining databases collected during one year. Manual data mining shows that this method is accurate on industrial production (98.9%). Moreover, the application of contextual classifications for the chatter detection on the same production data shows the relevancy of the proposed data mining approach." @default.
- W4367728090 created "2023-05-04" @default.
- W4367728090 creator A5007968509 @default.
- W4367728090 creator A5025943189 @default.
- W4367728090 creator A5033342747 @default.
- W4367728090 creator A5054358636 @default.
- W4367728090 date "2023-01-01" @default.
- W4367728090 modified "2023-09-29" @default.
- W4367728090 title "Contextual classification of chatter based on unsupervised machine learning" @default.
- W4367728090 cites W2168175751 @default.
- W4367728090 cites W2769267378 @default.
- W4367728090 cites W2791184423 @default.
- W4367728090 cites W2799559724 @default.
- W4367728090 cites W2805890365 @default.
- W4367728090 cites W2888663528 @default.
- W4367728090 cites W2913272944 @default.
- W4367728090 cites W2939712564 @default.
- W4367728090 cites W2997667970 @default.
- W4367728090 cites W3036448124 @default.
- W4367728090 cites W3040086193 @default.
- W4367728090 cites W3165560739 @default.
- W4367728090 cites W4288045586 @default.
- W4367728090 doi "https://doi.org/10.1016/j.procir.2023.03.066" @default.
- W4367728090 hasPublicationYear "2023" @default.
- W4367728090 type Work @default.
- W4367728090 citedByCount "0" @default.
- W4367728090 crossrefType "journal-article" @default.
- W4367728090 hasAuthorship W4367728090A5007968509 @default.
- W4367728090 hasAuthorship W4367728090A5025943189 @default.
- W4367728090 hasAuthorship W4367728090A5033342747 @default.
- W4367728090 hasAuthorship W4367728090A5054358636 @default.
- W4367728090 hasBestOaLocation W43677280901 @default.
- W4367728090 hasConcept C111919701 @default.
- W4367728090 hasConcept C119857082 @default.
- W4367728090 hasConcept C124101348 @default.
- W4367728090 hasConcept C127413603 @default.
- W4367728090 hasConcept C139719470 @default.
- W4367728090 hasConcept C151730666 @default.
- W4367728090 hasConcept C154945302 @default.
- W4367728090 hasConcept C162324750 @default.
- W4367728090 hasConcept C199360897 @default.
- W4367728090 hasConcept C2778348673 @default.
- W4367728090 hasConcept C2779343474 @default.
- W4367728090 hasConcept C2780712339 @default.
- W4367728090 hasConcept C41008148 @default.
- W4367728090 hasConcept C523214423 @default.
- W4367728090 hasConcept C527412718 @default.
- W4367728090 hasConcept C78519656 @default.
- W4367728090 hasConcept C8038995 @default.
- W4367728090 hasConcept C86803240 @default.
- W4367728090 hasConcept C98045186 @default.
- W4367728090 hasConceptScore W4367728090C111919701 @default.
- W4367728090 hasConceptScore W4367728090C119857082 @default.
- W4367728090 hasConceptScore W4367728090C124101348 @default.
- W4367728090 hasConceptScore W4367728090C127413603 @default.
- W4367728090 hasConceptScore W4367728090C139719470 @default.
- W4367728090 hasConceptScore W4367728090C151730666 @default.
- W4367728090 hasConceptScore W4367728090C154945302 @default.
- W4367728090 hasConceptScore W4367728090C162324750 @default.
- W4367728090 hasConceptScore W4367728090C199360897 @default.
- W4367728090 hasConceptScore W4367728090C2778348673 @default.
- W4367728090 hasConceptScore W4367728090C2779343474 @default.
- W4367728090 hasConceptScore W4367728090C2780712339 @default.
- W4367728090 hasConceptScore W4367728090C41008148 @default.
- W4367728090 hasConceptScore W4367728090C523214423 @default.
- W4367728090 hasConceptScore W4367728090C527412718 @default.
- W4367728090 hasConceptScore W4367728090C78519656 @default.
- W4367728090 hasConceptScore W4367728090C8038995 @default.
- W4367728090 hasConceptScore W4367728090C86803240 @default.
- W4367728090 hasConceptScore W4367728090C98045186 @default.
- W4367728090 hasFunder F4320320883 @default.
- W4367728090 hasLocation W43677280901 @default.
- W4367728090 hasLocation W43677280902 @default.
- W4367728090 hasOpenAccess W4367728090 @default.
- W4367728090 hasPrimaryLocation W43677280901 @default.
- W4367728090 hasRelatedWork W3007915134 @default.
- W4367728090 hasRelatedWork W3046775127 @default.
- W4367728090 hasRelatedWork W3123344745 @default.
- W4367728090 hasRelatedWork W3196155444 @default.
- W4367728090 hasRelatedWork W3208099188 @default.
- W4367728090 hasRelatedWork W3209574120 @default.
- W4367728090 hasRelatedWork W4285260836 @default.
- W4367728090 hasRelatedWork W4306321456 @default.
- W4367728090 hasRelatedWork W4367692580 @default.
- W4367728090 hasRelatedWork W4386462264 @default.
- W4367728090 hasVolume "117" @default.
- W4367728090 isParatext "false" @default.
- W4367728090 isRetracted "false" @default.
- W4367728090 workType "article" @default.