Matches in SemOpenAlex for { <https://semopenalex.org/work/W4296312268> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4296312268 endingPage "9286" @default.
- W4296312268 startingPage "9286" @default.
- W4296312268 abstract "The rarity of equipment failures results in a high level of imbalance between failure data and normal operation data, which makes the effective classification and prediction of such data difficult. Furthermore, many failure data are dominated by mixed data, which makes the model unable to adapt to this type of failure problem. Second, the replacement cycle of production equipment increases the difficulty of collecting failure data. In this paper, an equipment failure diagnosis method is proposed to solve the problem of poor prediction accuracy due to limited data. In this method, the synthetic minority oversampling technique is combined with a conditional tabular generative adversarial network. The proposed method can be used to predict limited data with a mixture of numerical and categorical data. Experimental results indicate that the proposed method can improve 6.45% compared to other similar methods when equipment failure data account for less than 1% of the total data." @default.
- W4296312268 created "2022-09-20" @default.
- W4296312268 creator A5007425032 @default.
- W4296312268 creator A5048854111 @default.
- W4296312268 creator A5075713303 @default.
- W4296312268 date "2022-09-16" @default.
- W4296312268 modified "2023-09-26" @default.
- W4296312268 title "Designing a Hybrid Equipment-Failure Diagnosis Mechanism under Mixed-Type Data with Limited Failure Samples" @default.
- W4296312268 cites W2109553965 @default.
- W4296312268 cites W2148143831 @default.
- W4296312268 cites W2949676527 @default.
- W4296312268 cites W2963809789 @default.
- W4296312268 cites W2967115638 @default.
- W4296312268 cites W2998251512 @default.
- W4296312268 cites W3033266910 @default.
- W4296312268 cites W3083422931 @default.
- W4296312268 cites W3101502877 @default.
- W4296312268 cites W3120795858 @default.
- W4296312268 cites W3135156596 @default.
- W4296312268 cites W3135991073 @default.
- W4296312268 cites W3139011613 @default.
- W4296312268 cites W3157699413 @default.
- W4296312268 cites W3161556829 @default.
- W4296312268 cites W3163304493 @default.
- W4296312268 cites W3190219082 @default.
- W4296312268 cites W3190520168 @default.
- W4296312268 cites W3200647619 @default.
- W4296312268 cites W3200695403 @default.
- W4296312268 cites W3217496751 @default.
- W4296312268 cites W4205441678 @default.
- W4296312268 cites W4206553297 @default.
- W4296312268 cites W4225665623 @default.
- W4296312268 doi "https://doi.org/10.3390/app12189286" @default.
- W4296312268 hasPublicationYear "2022" @default.
- W4296312268 type Work @default.
- W4296312268 citedByCount "3" @default.
- W4296312268 countsByYear W42963122682023 @default.
- W4296312268 crossrefType "journal-article" @default.
- W4296312268 hasAuthorship W4296312268A5007425032 @default.
- W4296312268 hasAuthorship W4296312268A5048854111 @default.
- W4296312268 hasAuthorship W4296312268A5075713303 @default.
- W4296312268 hasBestOaLocation W42963122681 @default.
- W4296312268 hasConcept C119857082 @default.
- W4296312268 hasConcept C124101348 @default.
- W4296312268 hasConcept C127413603 @default.
- W4296312268 hasConcept C138958017 @default.
- W4296312268 hasConcept C199360897 @default.
- W4296312268 hasConcept C200601418 @default.
- W4296312268 hasConcept C41008148 @default.
- W4296312268 hasConcept C5274069 @default.
- W4296312268 hasConceptScore W4296312268C119857082 @default.
- W4296312268 hasConceptScore W4296312268C124101348 @default.
- W4296312268 hasConceptScore W4296312268C127413603 @default.
- W4296312268 hasConceptScore W4296312268C138958017 @default.
- W4296312268 hasConceptScore W4296312268C199360897 @default.
- W4296312268 hasConceptScore W4296312268C200601418 @default.
- W4296312268 hasConceptScore W4296312268C41008148 @default.
- W4296312268 hasConceptScore W4296312268C5274069 @default.
- W4296312268 hasIssue "18" @default.
- W4296312268 hasLocation W42963122681 @default.
- W4296312268 hasOpenAccess W4296312268 @default.
- W4296312268 hasPrimaryLocation W42963122681 @default.
- W4296312268 hasRelatedWork W182451476 @default.
- W4296312268 hasRelatedWork W2067200401 @default.
- W4296312268 hasRelatedWork W2184029376 @default.
- W4296312268 hasRelatedWork W2229443892 @default.
- W4296312268 hasRelatedWork W2270953432 @default.
- W4296312268 hasRelatedWork W2298184867 @default.
- W4296312268 hasRelatedWork W2312542684 @default.
- W4296312268 hasRelatedWork W2579591280 @default.
- W4296312268 hasRelatedWork W2791401766 @default.
- W4296312268 hasRelatedWork W2590885329 @default.
- W4296312268 hasVolume "12" @default.
- W4296312268 isParatext "false" @default.
- W4296312268 isRetracted "false" @default.
- W4296312268 workType "article" @default.