Matches in SemOpenAlex for { <https://semopenalex.org/work/W2793358938> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2793358938 endingPage "680" @default.
- W2793358938 startingPage "671" @default.
- W2793358938 abstract "Fault diagnosis is of great significance in maintaining the safe and stable operation of a system. Fast and precise location of faults is important for restoring power supply systems. In this paper, considering the interference of information uncertainty to fault diagnosis under different weather conditions, a fault diagnosis model based on Bayesian network is proposed. The model inherits the capability of processing uncertain information of a Bayesian network and divides the information into historical information and evidence information. The uncertainty of historical information is reduced by modifying the parameters through improving parameter learning formulas, while that of evidence information can be reduced by logical judgment. A fault simulation model based on Monte Carlo method is used to generate simulation data for parameter learning, and a case study confirms the correctness of the proposed fault diagnosis and fault simulation models. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc." @default.
- W2793358938 created "2018-03-29" @default.
- W2793358938 creator A5006730214 @default.
- W2793358938 creator A5043643513 @default.
- W2793358938 creator A5047995663 @default.
- W2793358938 date "2018-01-19" @default.
- W2793358938 modified "2023-10-03" @default.
- W2793358938 title "Fault diagnosis model based on Bayesian network considering information uncertainty and its application in traction power supply system" @default.
- W2793358938 cites W1965354061 @default.
- W2793358938 cites W1978654022 @default.
- W2793358938 cites W2015250025 @default.
- W2793358938 cites W2025725303 @default.
- W2793358938 cites W2066833867 @default.
- W2793358938 cites W2090970671 @default.
- W2793358938 cites W2096244516 @default.
- W2793358938 cites W2098289645 @default.
- W2793358938 cites W2221161303 @default.
- W2793358938 cites W2231224226 @default.
- W2793358938 cites W2232574905 @default.
- W2793358938 cites W2299550941 @default.
- W2793358938 cites W2346912247 @default.
- W2793358938 cites W2405718429 @default.
- W2793358938 cites W259755134 @default.
- W2793358938 cites W874225101 @default.
- W2793358938 cites W880165694 @default.
- W2793358938 doi "https://doi.org/10.1002/tee.22616" @default.
- W2793358938 hasPublicationYear "2018" @default.
- W2793358938 type Work @default.
- W2793358938 sameAs 2793358938 @default.
- W2793358938 citedByCount "15" @default.
- W2793358938 countsByYear W27933589382019 @default.
- W2793358938 countsByYear W27933589382020 @default.
- W2793358938 countsByYear W27933589382021 @default.
- W2793358938 countsByYear W27933589382022 @default.
- W2793358938 countsByYear W27933589382023 @default.
- W2793358938 crossrefType "journal-article" @default.
- W2793358938 hasAuthorship W2793358938A5006730214 @default.
- W2793358938 hasAuthorship W2793358938A5043643513 @default.
- W2793358938 hasAuthorship W2793358938A5047995663 @default.
- W2793358938 hasConcept C107673813 @default.
- W2793358938 hasConcept C11413529 @default.
- W2793358938 hasConcept C119599485 @default.
- W2793358938 hasConcept C119857082 @default.
- W2793358938 hasConcept C124101348 @default.
- W2793358938 hasConcept C127313418 @default.
- W2793358938 hasConcept C127413603 @default.
- W2793358938 hasConcept C134146338 @default.
- W2793358938 hasConcept C154945302 @default.
- W2793358938 hasConcept C165205528 @default.
- W2793358938 hasConcept C167391956 @default.
- W2793358938 hasConcept C175551986 @default.
- W2793358938 hasConcept C200601418 @default.
- W2793358938 hasConcept C33724603 @default.
- W2793358938 hasConcept C41008148 @default.
- W2793358938 hasConcept C55439883 @default.
- W2793358938 hasConceptScore W2793358938C107673813 @default.
- W2793358938 hasConceptScore W2793358938C11413529 @default.
- W2793358938 hasConceptScore W2793358938C119599485 @default.
- W2793358938 hasConceptScore W2793358938C119857082 @default.
- W2793358938 hasConceptScore W2793358938C124101348 @default.
- W2793358938 hasConceptScore W2793358938C127313418 @default.
- W2793358938 hasConceptScore W2793358938C127413603 @default.
- W2793358938 hasConceptScore W2793358938C134146338 @default.
- W2793358938 hasConceptScore W2793358938C154945302 @default.
- W2793358938 hasConceptScore W2793358938C165205528 @default.
- W2793358938 hasConceptScore W2793358938C167391956 @default.
- W2793358938 hasConceptScore W2793358938C175551986 @default.
- W2793358938 hasConceptScore W2793358938C200601418 @default.
- W2793358938 hasConceptScore W2793358938C33724603 @default.
- W2793358938 hasConceptScore W2793358938C41008148 @default.
- W2793358938 hasConceptScore W2793358938C55439883 @default.
- W2793358938 hasIssue "5" @default.
- W2793358938 hasLocation W27933589381 @default.
- W2793358938 hasOpenAccess W2793358938 @default.
- W2793358938 hasPrimaryLocation W27933589381 @default.
- W2793358938 hasRelatedWork W1506965417 @default.
- W2793358938 hasRelatedWork W2001963708 @default.
- W2793358938 hasRelatedWork W2018656665 @default.
- W2793358938 hasRelatedWork W2351803315 @default.
- W2793358938 hasRelatedWork W2361938347 @default.
- W2793358938 hasRelatedWork W2566529656 @default.
- W2793358938 hasRelatedWork W2793358938 @default.
- W2793358938 hasRelatedWork W3015663727 @default.
- W2793358938 hasRelatedWork W4281701352 @default.
- W2793358938 hasRelatedWork W4385957992 @default.
- W2793358938 hasVolume "13" @default.
- W2793358938 isParatext "false" @default.
- W2793358938 isRetracted "false" @default.
- W2793358938 magId "2793358938" @default.
- W2793358938 workType "article" @default.