Matches in SemOpenAlex for { <https://semopenalex.org/work/W2549700779> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2549700779 abstract "In the case of Digital Signal Distribution (DSD), machine learning algorithms have contributed to elaborate better ways to enable failure prediction. In this work a nested model for predicting failures in the components involved in DSD failure is presented. The failure can be caused by multiple and different components and also due to correlations between them. We propose a clustering model to isolate component behavior, and subsequently apply predictive models to each cluster. With principal components analysis and cluster analysis we have been able to identify group of failures' causes in this way failures can be segmented and treated properly. We found seven significant features for classification to determine which part is failing. The clustering process generated two groups that allow us to predict if a general failure is going to occur, and the classification process permits us to forecast which component is probably going to present a failure." @default.
- W2549700779 created "2016-11-30" @default.
- W2549700779 creator A5007959813 @default.
- W2549700779 creator A5014012595 @default.
- W2549700779 creator A5033219253 @default.
- W2549700779 date "2015-12-31" @default.
- W2549700779 modified "2023-10-16" @default.
- W2549700779 title "Methodology for the Model for Failure Prediction in a Digital Signal Distribution" @default.
- W2549700779 cites W1543403612 @default.
- W2549700779 cites W1885706698 @default.
- W2549700779 cites W1980738663 @default.
- W2549700779 cites W2038155581 @default.
- W2549700779 cites W2110899976 @default.
- W2549700779 cites W2119479037 @default.
- W2549700779 cites W2126041859 @default.
- W2549700779 cites W2155713541 @default.
- W2549700779 cites W2158907675 @default.
- W2549700779 cites W2164463086 @default.
- W2549700779 cites W2294230742 @default.
- W2549700779 cites W34671102 @default.
- W2549700779 cites W1891342867 @default.
- W2549700779 doi "https://doi.org/10.13053/rcs-104-1-8" @default.
- W2549700779 hasPublicationYear "2015" @default.
- W2549700779 type Work @default.
- W2549700779 sameAs 2549700779 @default.
- W2549700779 citedByCount "0" @default.
- W2549700779 crossrefType "journal-article" @default.
- W2549700779 hasAuthorship W2549700779A5007959813 @default.
- W2549700779 hasAuthorship W2549700779A5014012595 @default.
- W2549700779 hasAuthorship W2549700779A5033219253 @default.
- W2549700779 hasConcept C111919701 @default.
- W2549700779 hasConcept C119857082 @default.
- W2549700779 hasConcept C121332964 @default.
- W2549700779 hasConcept C124101348 @default.
- W2549700779 hasConcept C153180895 @default.
- W2549700779 hasConcept C154945302 @default.
- W2549700779 hasConcept C164866538 @default.
- W2549700779 hasConcept C168167062 @default.
- W2549700779 hasConcept C199360897 @default.
- W2549700779 hasConcept C27438332 @default.
- W2549700779 hasConcept C2779843651 @default.
- W2549700779 hasConcept C41008148 @default.
- W2549700779 hasConcept C73555534 @default.
- W2549700779 hasConcept C97355855 @default.
- W2549700779 hasConcept C98045186 @default.
- W2549700779 hasConceptScore W2549700779C111919701 @default.
- W2549700779 hasConceptScore W2549700779C119857082 @default.
- W2549700779 hasConceptScore W2549700779C121332964 @default.
- W2549700779 hasConceptScore W2549700779C124101348 @default.
- W2549700779 hasConceptScore W2549700779C153180895 @default.
- W2549700779 hasConceptScore W2549700779C154945302 @default.
- W2549700779 hasConceptScore W2549700779C164866538 @default.
- W2549700779 hasConceptScore W2549700779C168167062 @default.
- W2549700779 hasConceptScore W2549700779C199360897 @default.
- W2549700779 hasConceptScore W2549700779C27438332 @default.
- W2549700779 hasConceptScore W2549700779C2779843651 @default.
- W2549700779 hasConceptScore W2549700779C41008148 @default.
- W2549700779 hasConceptScore W2549700779C73555534 @default.
- W2549700779 hasConceptScore W2549700779C97355855 @default.
- W2549700779 hasConceptScore W2549700779C98045186 @default.
- W2549700779 hasLocation W25497007791 @default.
- W2549700779 hasOpenAccess W2549700779 @default.
- W2549700779 hasPrimaryLocation W25497007791 @default.
- W2549700779 hasRelatedWork W143183142 @default.
- W2549700779 hasRelatedWork W1987454953 @default.
- W2549700779 hasRelatedWork W2086546975 @default.
- W2549700779 hasRelatedWork W2088563878 @default.
- W2549700779 hasRelatedWork W2267453756 @default.
- W2549700779 hasRelatedWork W2291203944 @default.
- W2549700779 hasRelatedWork W2299841687 @default.
- W2549700779 hasRelatedWork W2326215187 @default.
- W2549700779 hasRelatedWork W2602460189 @default.
- W2549700779 hasRelatedWork W2611975750 @default.
- W2549700779 hasRelatedWork W2802502045 @default.
- W2549700779 hasRelatedWork W2883319963 @default.
- W2549700779 hasRelatedWork W3041350938 @default.
- W2549700779 hasRelatedWork W3080213411 @default.
- W2549700779 hasRelatedWork W3111886879 @default.
- W2549700779 hasRelatedWork W881313454 @default.
- W2549700779 hasRelatedWork W2781011683 @default.
- W2549700779 hasRelatedWork W2926150058 @default.
- W2549700779 hasRelatedWork W2987742847 @default.
- W2549700779 hasRelatedWork W3019030547 @default.
- W2549700779 isParatext "false" @default.
- W2549700779 isRetracted "false" @default.
- W2549700779 magId "2549700779" @default.
- W2549700779 workType "article" @default.