FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4315651014> ?p ?o ?g. }

• W4315651014 endingPage "107510" @default.
• W4315651014 startingPage "107510" @default.
• W4315651014 abstract "The high cycle fatigue (HCF) of compressor rotor seriously affects the performance and reliability of aircraft engine. Probabilistic HCF evaluation is an effective measure to quantify the uncertain traits of vibration stresses and assess the reliable HCF life for compressor rotor. To improve the computing accuracy and efficiency of probabilistic HCF evaluation, a deep neural network with multiagent synergism (DNN-MS) is proposed by absorbing the strengths of the developed DNN model with flexible topology structure into the MS approach. The probabilistic HCF evaluation of a typical compressor rotor is considered as one case to evaluate the presented method. Analysis results reveal that the reliable HCF life of compressor rotor under reliability 99.87 % is 118,199 cycles, and the physical parameters (rotational speed, outlet static pressure, material density and elastic modulus) play a leading role on HCF life since their effect probabilities of 28 %, 19 %, 18 % and 17%, respectively. The comparison of methods (direct Monte Carlo simulation, quadratic polynomial, support vector regression, neural network and the presented DNN (unoptimized and optimized)) shows that: (1) the proposed DNN-MS possesses the best modeling accuracy among the agent model methods, with the mean absolute error (MAE) of 0.0176 and the root mean squared error (RMSE) of 0.0213; (2) the computing accuracy of DNN-MS is the highest among the agent model methods and almost consistent with direct Monte Carlo simulation; (3) DNN-MS holds the highest efficiency in probabilistic HCF evaluation." @default.
• W4315651014 created "2023-01-12" @default.
• W4315651014 creator A5030580964 @default.
• W4315651014 creator A5061528544 @default.
• W4315651014 creator A5066047703 @default.
• W4315651014 creator A5072813371 @default.
• W4315651014 date "2023-05-01" @default.
• W4315651014 modified "2023-09-27" @default.
• W4315651014 title "Deep neural network-based multiagent synergism method of probabilistic HCF evaluation for aircraft compressor rotor" @default.
• W4315651014 cites W1978820154 @default.
• W4315651014 cites W1985859516 @default.
• W4315651014 cites W2491667309 @default.
• W4315651014 cites W2580942568 @default.
• W4315651014 cites W2625777066 @default.
• W4315651014 cites W2746529222 @default.
• W4315651014 cites W2765914451 @default.
• W4315651014 cites W2791875084 @default.
• W4315651014 cites W2891906139 @default.
• W4315651014 cites W2898030211 @default.
• W4315651014 cites W2910421668 @default.
• W4315651014 cites W2935779091 @default.
• W4315651014 cites W2944964364 @default.
• W4315651014 cites W2969396694 @default.
• W4315651014 cites W2971647816 @default.
• W4315651014 cites W2996819067 @default.
• W4315651014 cites W3005533614 @default.
• W4315651014 cites W3007609440 @default.
• W4315651014 cites W3008997681 @default.
• W4315651014 cites W3034444489 @default.
• W4315651014 cites W3034794830 @default.
• W4315651014 cites W3035171971 @default.
• W4315651014 cites W3035278585 @default.
• W4315651014 cites W3035398808 @default.
• W4315651014 cites W3042281135 @default.
• W4315651014 cites W3045241290 @default.
• W4315651014 cites W3045616040 @default.
• W4315651014 cites W3047798355 @default.
• W4315651014 cites W3048386317 @default.
• W4315651014 cites W3082758367 @default.
• W4315651014 cites W3094908726 @default.
• W4315651014 cites W3095555015 @default.
• W4315651014 cites W3098653169 @default.
• W4315651014 cites W3102368904 @default.
• W4315651014 cites W3120402255 @default.
• W4315651014 cites W3120897022 @default.
• W4315651014 cites W3121371773 @default.
• W4315651014 cites W3153941078 @default.
• W4315651014 cites W3157821270 @default.
• W4315651014 cites W3163743873 @default.
• W4315651014 cites W3175199209 @default.
• W4315651014 cites W3183870624 @default.
• W4315651014 cites W3206830329 @default.
• W4315651014 cites W3209199687 @default.
• W4315651014 cites W3212022817 @default.
• W4315651014 cites W4200160491 @default.
• W4315651014 cites W4213309317 @default.
• W4315651014 cites W4214592415 @default.
• W4315651014 cites W4281622154 @default.
• W4315651014 cites W4283797252 @default.
• W4315651014 doi "https://doi.org/10.1016/j.ijfatigue.2023.107510" @default.
• W4315651014 hasPublicationYear "2023" @default.
• W4315651014 type Work @default.
• W4315651014 citedByCount "4" @default.
• W4315651014 countsByYear W43156510142023 @default.
• W4315651014 crossrefType "journal-article" @default.
• W4315651014 hasAuthorship W4315651014A5030580964 @default.
• W4315651014 hasAuthorship W4315651014A5061528544 @default.
• W4315651014 hasAuthorship W4315651014A5066047703 @default.
• W4315651014 hasAuthorship W4315651014A5072813371 @default.
• W4315651014 hasConcept C105795698 @default.
• W4315651014 hasConcept C11413529 @default.
• W4315651014 hasConcept C127413603 @default.
• W4315651014 hasConcept C131097465 @default.
• W4315651014 hasConcept C139945424 @default.
• W4315651014 hasConcept C154945302 @default.
• W4315651014 hasConcept C17281054 @default.
• W4315651014 hasConcept C19499675 @default.
• W4315651014 hasConcept C2775924081 @default.
• W4315651014 hasConcept C33923547 @default.
• W4315651014 hasConcept C41008148 @default.
• W4315651014 hasConcept C44154836 @default.
• W4315651014 hasConcept C47446073 @default.
• W4315651014 hasConcept C49937458 @default.
• W4315651014 hasConcept C50644808 @default.
• W4315651014 hasConcept C78519656 @default.
• W4315651014 hasConceptScore W4315651014C105795698 @default.
• W4315651014 hasConceptScore W4315651014C11413529 @default.
• W4315651014 hasConceptScore W4315651014C127413603 @default.
• W4315651014 hasConceptScore W4315651014C131097465 @default.
• W4315651014 hasConceptScore W4315651014C139945424 @default.
• W4315651014 hasConceptScore W4315651014C154945302 @default.
• W4315651014 hasConceptScore W4315651014C17281054 @default.
• W4315651014 hasConceptScore W4315651014C19499675 @default.
• W4315651014 hasConceptScore W4315651014C2775924081 @default.
• W4315651014 hasConceptScore W4315651014C33923547 @default.
• W4315651014 hasConceptScore W4315651014C41008148 @default.
• W4315651014 hasConceptScore W4315651014C44154836 @default.
• W4315651014 hasConceptScore W4315651014C47446073 @default.

• next