Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387477047> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4387477047 abstract "Aiming at the problem that it is difficult to detect effective transient impact characteristics of wind turbine generator bearing fault signals due to non-stationary and strong noise, a fault diagnosis method based on adaptive redundant lifting wavelet dictionary and Bayesian biorthogonal sparse representation (SR) algorithm is proposed. First, a Bayesian model is integrated into the biorthogonal matching pursuit (MP) algorithm to improve the use of dictionary atoms in the effective support set. Then, an adaptive redundant lifting wavelet is used to construct a dictionary matching the transient characteristics of the signal. Finally, the SR algorithm is established by integrating the Bayesian biorthogonal MP model and adaptive redundant lifting wavelet dictionary. Simulation and experimental results show that the proposed method can improve the accuracy of signal reconstruction of transient components and effectively extract bearing fault features, thus verifying the effectiveness and robustness of the method." @default.
- W4387477047 created "2023-10-11" @default.
- W4387477047 creator A5000909799 @default.
- W4387477047 creator A5019449658 @default.
- W4387477047 creator A5038191313 @default.
- W4387477047 creator A5089025001 @default.
- W4387477047 date "2023-10-10" @default.
- W4387477047 modified "2023-10-16" @default.
- W4387477047 title "Transient fault extraction for wind turbine generator bearing based on Bayesian biorthogonal sparse representation using adaptive redundant lifting wavelet dictionary" @default.
- W4387477047 cites W1591714781 @default.
- W4387477047 cites W1644217398 @default.
- W4387477047 cites W1998204489 @default.
- W4387477047 cites W2017334797 @default.
- W4387477047 cites W2020919250 @default.
- W4387477047 cites W2046674752 @default.
- W4387477047 cites W2056700360 @default.
- W4387477047 cites W2060304859 @default.
- W4387477047 cites W2122130821 @default.
- W4387477047 cites W2128635863 @default.
- W4387477047 cites W2140856955 @default.
- W4387477047 cites W2151693816 @default.
- W4387477047 cites W2301002797 @default.
- W4387477047 cites W2460920189 @default.
- W4387477047 cites W2583356199 @default.
- W4387477047 cites W2595889413 @default.
- W4387477047 cites W2603325781 @default.
- W4387477047 cites W2769900468 @default.
- W4387477047 cites W2788684127 @default.
- W4387477047 cites W2799756856 @default.
- W4387477047 cites W2804568838 @default.
- W4387477047 cites W2810015341 @default.
- W4387477047 cites W2932115805 @default.
- W4387477047 cites W3006388671 @default.
- W4387477047 cites W3094041438 @default.
- W4387477047 cites W3094644621 @default.
- W4387477047 cites W3158866803 @default.
- W4387477047 doi "https://doi.org/10.1177/14759217231198101" @default.
- W4387477047 hasPublicationYear "2023" @default.
- W4387477047 type Work @default.
- W4387477047 citedByCount "0" @default.
- W4387477047 crossrefType "journal-article" @default.
- W4387477047 hasAuthorship W4387477047A5000909799 @default.
- W4387477047 hasAuthorship W4387477047A5019449658 @default.
- W4387477047 hasAuthorship W4387477047A5038191313 @default.
- W4387477047 hasAuthorship W4387477047A5089025001 @default.
- W4387477047 hasConcept C104317684 @default.
- W4387477047 hasConcept C107673813 @default.
- W4387477047 hasConcept C11413529 @default.
- W4387477047 hasConcept C124066611 @default.
- W4387477047 hasConcept C124851039 @default.
- W4387477047 hasConcept C153180895 @default.
- W4387477047 hasConcept C154945302 @default.
- W4387477047 hasConcept C156872377 @default.
- W4387477047 hasConcept C158453530 @default.
- W4387477047 hasConcept C185592680 @default.
- W4387477047 hasConcept C196216189 @default.
- W4387477047 hasConcept C2778869661 @default.
- W4387477047 hasConcept C41008148 @default.
- W4387477047 hasConcept C47432892 @default.
- W4387477047 hasConcept C55493867 @default.
- W4387477047 hasConcept C63479239 @default.
- W4387477047 hasConceptScore W4387477047C104317684 @default.
- W4387477047 hasConceptScore W4387477047C107673813 @default.
- W4387477047 hasConceptScore W4387477047C11413529 @default.
- W4387477047 hasConceptScore W4387477047C124066611 @default.
- W4387477047 hasConceptScore W4387477047C124851039 @default.
- W4387477047 hasConceptScore W4387477047C153180895 @default.
- W4387477047 hasConceptScore W4387477047C154945302 @default.
- W4387477047 hasConceptScore W4387477047C156872377 @default.
- W4387477047 hasConceptScore W4387477047C158453530 @default.
- W4387477047 hasConceptScore W4387477047C185592680 @default.
- W4387477047 hasConceptScore W4387477047C196216189 @default.
- W4387477047 hasConceptScore W4387477047C2778869661 @default.
- W4387477047 hasConceptScore W4387477047C41008148 @default.
- W4387477047 hasConceptScore W4387477047C47432892 @default.
- W4387477047 hasConceptScore W4387477047C55493867 @default.
- W4387477047 hasConceptScore W4387477047C63479239 @default.
- W4387477047 hasFunder F4320321001 @default.
- W4387477047 hasLocation W43874770471 @default.
- W4387477047 hasOpenAccess W4387477047 @default.
- W4387477047 hasPrimaryLocation W43874770471 @default.
- W4387477047 hasRelatedWork W1588509767 @default.
- W4387477047 hasRelatedWork W2011611369 @default.
- W4387477047 hasRelatedWork W2016058047 @default.
- W4387477047 hasRelatedWork W2063932542 @default.
- W4387477047 hasRelatedWork W2074465713 @default.
- W4387477047 hasRelatedWork W2106250363 @default.
- W4387477047 hasRelatedWork W2966415695 @default.
- W4387477047 hasRelatedWork W4220883773 @default.
- W4387477047 hasRelatedWork W4245251483 @default.
- W4387477047 hasRelatedWork W4297791310 @default.
- W4387477047 isParatext "false" @default.
- W4387477047 isRetracted "false" @default.
- W4387477047 workType "article" @default.