Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283522780> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4283522780 endingPage "3155" @default.
- W4283522780 startingPage "3147" @default.
- W4283522780 abstract "Condition monitoring techniques provide vital data for operators to avoid unpredicted and unwanted stops of machines caused by faults. One of these techniques is vibration analysis, which is used for faults diagnosis and prognosis such as shaft bending, misalignment, lousy bearing, worn gears, unbalances of rotors, etc. Moreover, vibration signals can be employed in intelligent algorithms like Fuzzy Models, Support Vector Machines, and Neural Networks to prepare better and more accurate predictions of current and future conditions of the machine. This paper discusses the application of vibration signals in the prediction of rotor unbalance parameters including the unbalance location and amount. Some statistical features were applied to the inputs of the neural network that had been derived from the time and frequency domains of bearing acceleration signals. The experimental study shows that the developed model can estimate these parameters with acceptable accuracy." @default.
- W4283522780 created "2022-06-27" @default.
- W4283522780 creator A5004573969 @default.
- W4283522780 creator A5009319976 @default.
- W4283522780 creator A5025913229 @default.
- W4283522780 date "2022-06-26" @default.
- W4283522780 modified "2023-10-14" @default.
- W4283522780 title "Unbalance Rotor Parameters Detection Based on Artificial Neural Network: Development of Test Rig" @default.
- W4283522780 cites W1866990058 @default.
- W4283522780 cites W1976721855 @default.
- W4283522780 cites W1980176394 @default.
- W4283522780 cites W2002616799 @default.
- W4283522780 cites W2003185155 @default.
- W4283522780 cites W2045849043 @default.
- W4283522780 cites W2058024572 @default.
- W4283522780 cites W2058397971 @default.
- W4283522780 cites W2082038721 @default.
- W4283522780 cites W2101927907 @default.
- W4283522780 cites W2114637544 @default.
- W4283522780 cites W2149854044 @default.
- W4283522780 cites W2919341207 @default.
- W4283522780 cites W2987269915 @default.
- W4283522780 cites W3109834858 @default.
- W4283522780 cites W3120923551 @default.
- W4283522780 cites W3150311724 @default.
- W4283522780 cites W4253804300 @default.
- W4283522780 cites W532933 @default.
- W4283522780 doi "https://doi.org/10.1007/s42417-022-00546-4" @default.
- W4283522780 hasPublicationYear "2022" @default.
- W4283522780 type Work @default.
- W4283522780 citedByCount "2" @default.
- W4283522780 countsByYear W42835227802022 @default.
- W4283522780 crossrefType "journal-article" @default.
- W4283522780 hasAuthorship W4283522780A5004573969 @default.
- W4283522780 hasAuthorship W4283522780A5009319976 @default.
- W4283522780 hasAuthorship W4283522780A5025913229 @default.
- W4283522780 hasBestOaLocation W42835227802 @default.
- W4283522780 hasConcept C117896860 @default.
- W4283522780 hasConcept C121332964 @default.
- W4283522780 hasConcept C127413603 @default.
- W4283522780 hasConcept C133731056 @default.
- W4283522780 hasConcept C154945302 @default.
- W4283522780 hasConcept C17281054 @default.
- W4283522780 hasConcept C177124886 @default.
- W4283522780 hasConcept C198394728 @default.
- W4283522780 hasConcept C199978012 @default.
- W4283522780 hasConcept C24890656 @default.
- W4283522780 hasConcept C2775924081 @default.
- W4283522780 hasConcept C41008148 @default.
- W4283522780 hasConcept C47446073 @default.
- W4283522780 hasConcept C50644808 @default.
- W4283522780 hasConcept C58166 @default.
- W4283522780 hasConcept C74650414 @default.
- W4283522780 hasConcept C78519656 @default.
- W4283522780 hasConceptScore W4283522780C117896860 @default.
- W4283522780 hasConceptScore W4283522780C121332964 @default.
- W4283522780 hasConceptScore W4283522780C127413603 @default.
- W4283522780 hasConceptScore W4283522780C133731056 @default.
- W4283522780 hasConceptScore W4283522780C154945302 @default.
- W4283522780 hasConceptScore W4283522780C17281054 @default.
- W4283522780 hasConceptScore W4283522780C177124886 @default.
- W4283522780 hasConceptScore W4283522780C198394728 @default.
- W4283522780 hasConceptScore W4283522780C199978012 @default.
- W4283522780 hasConceptScore W4283522780C24890656 @default.
- W4283522780 hasConceptScore W4283522780C2775924081 @default.
- W4283522780 hasConceptScore W4283522780C41008148 @default.
- W4283522780 hasConceptScore W4283522780C47446073 @default.
- W4283522780 hasConceptScore W4283522780C50644808 @default.
- W4283522780 hasConceptScore W4283522780C58166 @default.
- W4283522780 hasConceptScore W4283522780C74650414 @default.
- W4283522780 hasConceptScore W4283522780C78519656 @default.
- W4283522780 hasIssue "8" @default.
- W4283522780 hasLocation W42835227801 @default.
- W4283522780 hasLocation W42835227802 @default.
- W4283522780 hasOpenAccess W4283522780 @default.
- W4283522780 hasPrimaryLocation W42835227801 @default.
- W4283522780 hasRelatedWork W1967937183 @default.
- W4283522780 hasRelatedWork W1971975043 @default.
- W4283522780 hasRelatedWork W1979896680 @default.
- W4283522780 hasRelatedWork W2132866457 @default.
- W4283522780 hasRelatedWork W2176627362 @default.
- W4283522780 hasRelatedWork W2320557108 @default.
- W4283522780 hasRelatedWork W2774059982 @default.
- W4283522780 hasRelatedWork W3135133970 @default.
- W4283522780 hasRelatedWork W4377195868 @default.
- W4283522780 hasRelatedWork W4380028344 @default.
- W4283522780 hasVolume "10" @default.
- W4283522780 isParatext "false" @default.
- W4283522780 isRetracted "false" @default.
- W4283522780 workType "article" @default.