Matches in SemOpenAlex for { <https://semopenalex.org/work/W2000323293> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2000323293 endingPage "1051" @default.
- W2000323293 startingPage "1046" @default.
- W2000323293 abstract "Baysesian Neural Network approach for predicting the temper embrittlement of steam turbine rotor in service was proposed. The FATT50 (the fracture appearance transition temperature) of the rotors was predicted as a function of ratio of the two peak current densities (Ipr / Ip ) tested by electrochemical potentiodynamic reaction method, temperature of electrolyte, J-factor and grain size ( N ). A database was obtained from the test of electrochemical potentiodynamic reaction and Charpy impact. The Bayesian neural network technique was used for modeling of temper embrittlement. The neural network shows a more precise prediction of temper embrittlement of rotor steels than the prediction using multiple linear regression. The training error and verifying error is with the scatter of ±20°C. The results show that, for the temper embrittlement of rotor steels prediction, the prediction model based on Bayesian neural network is feasible and effective." @default.
- W2000323293 created "2016-06-24" @default.
- W2000323293 creator A5050888986 @default.
- W2000323293 creator A5086118002 @default.
- W2000323293 date "2010-10-01" @default.
- W2000323293 modified "2023-09-23" @default.
- W2000323293 title "Baysesian Neural Network Approach to Detecting Temper Embrittlement of 30Cr2MoV Rotor Steels" @default.
- W2000323293 cites W1611777006 @default.
- W2000323293 cites W1964810204 @default.
- W2000323293 cites W1967635848 @default.
- W2000323293 cites W1982229286 @default.
- W2000323293 cites W1990555502 @default.
- W2000323293 cites W1998738812 @default.
- W2000323293 cites W2000953880 @default.
- W2000323293 cites W2012531411 @default.
- W2000323293 cites W2014022684 @default.
- W2000323293 cites W2028744979 @default.
- W2000323293 cites W2130950897 @default.
- W2000323293 cites W2164837536 @default.
- W2000323293 cites W2515133236 @default.
- W2000323293 doi "https://doi.org/10.4028/www.scientific.net/amm.34-35.1046" @default.
- W2000323293 hasPublicationYear "2010" @default.
- W2000323293 type Work @default.
- W2000323293 sameAs 2000323293 @default.
- W2000323293 citedByCount "0" @default.
- W2000323293 crossrefType "journal-article" @default.
- W2000323293 hasAuthorship W2000323293A5050888986 @default.
- W2000323293 hasAuthorship W2000323293A5086118002 @default.
- W2000323293 hasConcept C127205250 @default.
- W2000323293 hasConcept C127413603 @default.
- W2000323293 hasConcept C142282041 @default.
- W2000323293 hasConcept C147789679 @default.
- W2000323293 hasConcept C154945302 @default.
- W2000323293 hasConcept C17281054 @default.
- W2000323293 hasConcept C17525397 @default.
- W2000323293 hasConcept C185592680 @default.
- W2000323293 hasConcept C191897082 @default.
- W2000323293 hasConcept C192562407 @default.
- W2000323293 hasConcept C20625102 @default.
- W2000323293 hasConcept C2778449969 @default.
- W2000323293 hasConcept C41008148 @default.
- W2000323293 hasConcept C50644808 @default.
- W2000323293 hasConcept C68801617 @default.
- W2000323293 hasConcept C78519656 @default.
- W2000323293 hasConcept C87976508 @default.
- W2000323293 hasConcept C92621854 @default.
- W2000323293 hasConceptScore W2000323293C127205250 @default.
- W2000323293 hasConceptScore W2000323293C127413603 @default.
- W2000323293 hasConceptScore W2000323293C142282041 @default.
- W2000323293 hasConceptScore W2000323293C147789679 @default.
- W2000323293 hasConceptScore W2000323293C154945302 @default.
- W2000323293 hasConceptScore W2000323293C17281054 @default.
- W2000323293 hasConceptScore W2000323293C17525397 @default.
- W2000323293 hasConceptScore W2000323293C185592680 @default.
- W2000323293 hasConceptScore W2000323293C191897082 @default.
- W2000323293 hasConceptScore W2000323293C192562407 @default.
- W2000323293 hasConceptScore W2000323293C20625102 @default.
- W2000323293 hasConceptScore W2000323293C2778449969 @default.
- W2000323293 hasConceptScore W2000323293C41008148 @default.
- W2000323293 hasConceptScore W2000323293C50644808 @default.
- W2000323293 hasConceptScore W2000323293C68801617 @default.
- W2000323293 hasConceptScore W2000323293C78519656 @default.
- W2000323293 hasConceptScore W2000323293C87976508 @default.
- W2000323293 hasConceptScore W2000323293C92621854 @default.
- W2000323293 hasLocation W20003232931 @default.
- W2000323293 hasOpenAccess W2000323293 @default.
- W2000323293 hasPrimaryLocation W20003232931 @default.
- W2000323293 hasRelatedWork W1966538500 @default.
- W2000323293 hasRelatedWork W1988951785 @default.
- W2000323293 hasRelatedWork W2020164617 @default.
- W2000323293 hasRelatedWork W2084567768 @default.
- W2000323293 hasRelatedWork W2111166676 @default.
- W2000323293 hasRelatedWork W2113582152 @default.
- W2000323293 hasRelatedWork W2154142669 @default.
- W2000323293 hasRelatedWork W2352319152 @default.
- W2000323293 hasRelatedWork W2393997488 @default.
- W2000323293 hasRelatedWork W4252751901 @default.
- W2000323293 hasVolume "34-35" @default.
- W2000323293 isParatext "false" @default.
- W2000323293 isRetracted "false" @default.
- W2000323293 magId "2000323293" @default.
- W2000323293 workType "article" @default.