Matches in SemOpenAlex for { <https://semopenalex.org/work/W2092504043> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2092504043 endingPage "705" @default.
- W2092504043 startingPage "701" @default.
- W2092504043 abstract "The technology of real-time fault diagnosis for nuclear power plants (NPP) has great significance to improve the safety and economy of reactor. Nuclear power plants are complex system, which collect and monitor the vast parameters. A parameter reduction method based on fuzzy rough sets was proposed. According to the characteristics the parameters were fuzzed, and they were reducted using the algorithm of forward greedy search. The decision tree was applied to learn from training samples which were the typical faults of nuclear power plant, i.e., loss of coolant accident (LOCA), feed water pipe rupture, steam generator tube rupture (SGTR), main steam pipe rupture, and diagnose by using the acquired knowledge. The result shows that this method can diagnose the faults of the NPP rapidly and accurately." @default.
- W2092504043 created "2016-06-24" @default.
- W2092504043 creator A5007321647 @default.
- W2092504043 creator A5038507106 @default.
- W2092504043 creator A5039918528 @default.
- W2092504043 creator A5047268666 @default.
- W2092504043 creator A5062600752 @default.
- W2092504043 date "2014-07-01" @default.
- W2092504043 modified "2023-09-23" @default.
- W2092504043 title "Study on Fault Diagnosis Method for Nuclear Power Plant Based on Fuzzy Rough Sets and Decision Tree" @default.
- W2092504043 cites W2092504043 @default.
- W2092504043 cites W2097923398 @default.
- W2092504043 cites W2158633287 @default.
- W2092504043 doi "https://doi.org/10.4028/www.scientific.net/amr.981.701" @default.
- W2092504043 hasPublicationYear "2014" @default.
- W2092504043 type Work @default.
- W2092504043 sameAs 2092504043 @default.
- W2092504043 citedByCount "2" @default.
- W2092504043 countsByYear W20925040432014 @default.
- W2092504043 countsByYear W20925040432023 @default.
- W2092504043 crossrefType "journal-article" @default.
- W2092504043 hasAuthorship W2092504043A5007321647 @default.
- W2092504043 hasAuthorship W2092504043A5038507106 @default.
- W2092504043 hasAuthorship W2092504043A5039918528 @default.
- W2092504043 hasAuthorship W2092504043A5047268666 @default.
- W2092504043 hasAuthorship W2092504043A5062600752 @default.
- W2092504043 hasConcept C107094494 @default.
- W2092504043 hasConcept C111012933 @default.
- W2092504043 hasConcept C116915560 @default.
- W2092504043 hasConcept C119599485 @default.
- W2092504043 hasConcept C121332964 @default.
- W2092504043 hasConcept C127413603 @default.
- W2092504043 hasConcept C154945302 @default.
- W2092504043 hasConcept C185544564 @default.
- W2092504043 hasConcept C18903297 @default.
- W2092504043 hasConcept C200601418 @default.
- W2092504043 hasConcept C2778917722 @default.
- W2092504043 hasConcept C2779979336 @default.
- W2092504043 hasConcept C2780013297 @default.
- W2092504043 hasConcept C2780406361 @default.
- W2092504043 hasConcept C41008148 @default.
- W2092504043 hasConcept C4311470 @default.
- W2092504043 hasConcept C513653683 @default.
- W2092504043 hasConcept C548081761 @default.
- W2092504043 hasConcept C58166 @default.
- W2092504043 hasConcept C78519656 @default.
- W2092504043 hasConcept C84525736 @default.
- W2092504043 hasConcept C86803240 @default.
- W2092504043 hasConcept C91914117 @default.
- W2092504043 hasConceptScore W2092504043C107094494 @default.
- W2092504043 hasConceptScore W2092504043C111012933 @default.
- W2092504043 hasConceptScore W2092504043C116915560 @default.
- W2092504043 hasConceptScore W2092504043C119599485 @default.
- W2092504043 hasConceptScore W2092504043C121332964 @default.
- W2092504043 hasConceptScore W2092504043C127413603 @default.
- W2092504043 hasConceptScore W2092504043C154945302 @default.
- W2092504043 hasConceptScore W2092504043C185544564 @default.
- W2092504043 hasConceptScore W2092504043C18903297 @default.
- W2092504043 hasConceptScore W2092504043C200601418 @default.
- W2092504043 hasConceptScore W2092504043C2778917722 @default.
- W2092504043 hasConceptScore W2092504043C2779979336 @default.
- W2092504043 hasConceptScore W2092504043C2780013297 @default.
- W2092504043 hasConceptScore W2092504043C2780406361 @default.
- W2092504043 hasConceptScore W2092504043C41008148 @default.
- W2092504043 hasConceptScore W2092504043C4311470 @default.
- W2092504043 hasConceptScore W2092504043C513653683 @default.
- W2092504043 hasConceptScore W2092504043C548081761 @default.
- W2092504043 hasConceptScore W2092504043C58166 @default.
- W2092504043 hasConceptScore W2092504043C78519656 @default.
- W2092504043 hasConceptScore W2092504043C84525736 @default.
- W2092504043 hasConceptScore W2092504043C86803240 @default.
- W2092504043 hasConceptScore W2092504043C91914117 @default.
- W2092504043 hasLocation W20925040431 @default.
- W2092504043 hasOpenAccess W2092504043 @default.
- W2092504043 hasPrimaryLocation W20925040431 @default.
- W2092504043 hasRelatedWork W171954480 @default.
- W2092504043 hasRelatedWork W2021370996 @default.
- W2092504043 hasRelatedWork W2092504043 @default.
- W2092504043 hasRelatedWork W2354419210 @default.
- W2092504043 hasRelatedWork W2364198215 @default.
- W2092504043 hasRelatedWork W2366951183 @default.
- W2092504043 hasRelatedWork W2372127441 @default.
- W2092504043 hasRelatedWork W2504286095 @default.
- W2092504043 hasRelatedWork W2921581937 @default.
- W2092504043 hasRelatedWork W4293733561 @default.
- W2092504043 hasVolume "981" @default.
- W2092504043 isParatext "false" @default.
- W2092504043 isRetracted "false" @default.
- W2092504043 magId "2092504043" @default.
- W2092504043 workType "article" @default.