Matches in SemOpenAlex for { <https://semopenalex.org/work/W13458803> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W13458803 endingPage "385" @default.
- W13458803 startingPage "359" @default.
- W13458803 abstract "AbstractAccurate estimation of helicopter component loads is an important goal for life cycle management and life extension efforts. In this research, estimates of helicopter dynamic loads were achieved through a combination of statistical and machine learning (computational intelligence) techniques. Estimates for the main rotor normal bending (MRNBX) loads on the Sikorsky S-70A-9 Black Hawk helicopter during two flight conditions (full speed forward level flight and rolling left pullout at 1.5g) were generated from an input set comprising 30 standard flight state and control system (FSCS) parameters. Data exploration using principal component analysis and multi-objective optimization of Gamma test parameters generated reduced subsets of predictors. These subsets were used to estimate MRNBX using neural network models trained by deterministic and evolutionary computation techniques. Reasonably accurate and correlated models were obtained using the subsets of the multi-objective optimization, also allowing some insight into the relationship between MRNBX and the 30 FSCS parameters.KeywordsRoot Mean Square ErrorParticle Swarm OptimizationDifferential EvolutionFlight ConditionMain RotorThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W13458803 created "2016-06-24" @default.
- W13458803 creator A5001701963 @default.
- W13458803 creator A5019572093 @default.
- W13458803 creator A5074623356 @default.
- W13458803 date "2014-11-14" @default.
- W13458803 modified "2023-09-23" @default.
- W13458803 title "Exploration of Flight State and Control System Parameters for Prediction of Helicopter Loads via Gamma Test and Machine Learning Techniques" @default.
- W13458803 cites W1549386224 @default.
- W13458803 cites W1573534773 @default.
- W13458803 cites W2035691333 @default.
- W13458803 cites W2112292994 @default.
- W13458803 cites W2121058804 @default.
- W13458803 cites W2126105956 @default.
- W13458803 cites W2130241163 @default.
- W13458803 cites W2150501807 @default.
- W13458803 cites W2167159964 @default.
- W13458803 cites W4230073927 @default.
- W13458803 cites W4253364378 @default.
- W13458803 doi "https://doi.org/10.1007/978-3-319-07812-0_18" @default.
- W13458803 hasPublicationYear "2014" @default.
- W13458803 type Work @default.
- W13458803 sameAs 13458803 @default.
- W13458803 citedByCount "4" @default.
- W13458803 countsByYear W134588032017 @default.
- W13458803 countsByYear W134588032021 @default.
- W13458803 crossrefType "book-chapter" @default.
- W13458803 hasAuthorship W13458803A5001701963 @default.
- W13458803 hasAuthorship W13458803A5019572093 @default.
- W13458803 hasAuthorship W13458803A5074623356 @default.
- W13458803 hasConcept C111919701 @default.
- W13458803 hasConcept C127413603 @default.
- W13458803 hasConcept C133731056 @default.
- W13458803 hasConcept C154945302 @default.
- W13458803 hasConcept C17281054 @default.
- W13458803 hasConcept C177124886 @default.
- W13458803 hasConcept C2775924081 @default.
- W13458803 hasConcept C2777943292 @default.
- W13458803 hasConcept C41008148 @default.
- W13458803 hasConcept C44154836 @default.
- W13458803 hasConcept C47446073 @default.
- W13458803 hasConcept C50644808 @default.
- W13458803 hasConcept C78519656 @default.
- W13458803 hasConcept C98045186 @default.
- W13458803 hasConceptScore W13458803C111919701 @default.
- W13458803 hasConceptScore W13458803C127413603 @default.
- W13458803 hasConceptScore W13458803C133731056 @default.
- W13458803 hasConceptScore W13458803C154945302 @default.
- W13458803 hasConceptScore W13458803C17281054 @default.
- W13458803 hasConceptScore W13458803C177124886 @default.
- W13458803 hasConceptScore W13458803C2775924081 @default.
- W13458803 hasConceptScore W13458803C2777943292 @default.
- W13458803 hasConceptScore W13458803C41008148 @default.
- W13458803 hasConceptScore W13458803C44154836 @default.
- W13458803 hasConceptScore W13458803C47446073 @default.
- W13458803 hasConceptScore W13458803C50644808 @default.
- W13458803 hasConceptScore W13458803C78519656 @default.
- W13458803 hasConceptScore W13458803C98045186 @default.
- W13458803 hasLocation W134588031 @default.
- W13458803 hasOpenAccess W13458803 @default.
- W13458803 hasPrimaryLocation W134588031 @default.
- W13458803 hasRelatedWork W2354591724 @default.
- W13458803 hasRelatedWork W2356292517 @default.
- W13458803 hasRelatedWork W2363387915 @default.
- W13458803 hasRelatedWork W2387313433 @default.
- W13458803 hasRelatedWork W2387669975 @default.
- W13458803 hasRelatedWork W2393422983 @default.
- W13458803 hasRelatedWork W2394232773 @default.
- W13458803 hasRelatedWork W2394386606 @default.
- W13458803 hasRelatedWork W3216113009 @default.
- W13458803 hasRelatedWork W610673647 @default.
- W13458803 isParatext "false" @default.
- W13458803 isRetracted "false" @default.
- W13458803 magId "13458803" @default.
- W13458803 workType "book-chapter" @default.