Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385566881> ?p ?o ?g. }
- W4385566881 endingPage "113414" @default.
- W4385566881 startingPage "113414" @default.
- W4385566881 abstract "Spline tooth root crack is a kind of critical faults for clutch friction disc. Most traditional crack diagnosis methods based on single-sensor or fusion may be degraded due to incomplete fault information or low signal-to-noise ratio (SNR). Aiming at enhancing the ratio of fault-related information in the fusion signal, a new reweighted variational mode decomposition (VMD) multi-point fusion method is proposed. With the proposed method, each measurement point vibration acceleration signal is decomposed by VMD firstly, and the intrinsic mode functions (IMFs) containing different sensitivities information are obtained. Then, correlation energy fluctuation (CEF) and confidence distance are utilized to evaluate the IMFs and raw signal respectively. A new dual-weight strategy is proposed to restructure the IMFs. Finally, convolutional neural network (CNN) is used to identify spline tooth early crack faults. Experimental results demonstrate that the proposed method has greater fault recognition rate than single point and other fusion methods." @default.
- W4385566881 created "2023-08-05" @default.
- W4385566881 creator A5027044291 @default.
- W4385566881 creator A5034333151 @default.
- W4385566881 creator A5034422878 @default.
- W4385566881 creator A5049692788 @default.
- W4385566881 creator A5064572835 @default.
- W4385566881 creator A5066897891 @default.
- W4385566881 creator A5069181198 @default.
- W4385566881 creator A5079981761 @default.
- W4385566881 date "2023-10-01" @default.
- W4385566881 modified "2023-10-11" @default.
- W4385566881 title "A New Raw Signal Fusion Method using Reweighted VMD for Early Crack Fault Diagnosis at Spline Tooth of Clutch Friction Disc" @default.
- W4385566881 cites W2000982976 @default.
- W4385566881 cites W2037502972 @default.
- W4385566881 cites W2087273325 @default.
- W4385566881 cites W2112796928 @default.
- W4385566881 cites W2124397153 @default.
- W4385566881 cites W2299617127 @default.
- W4385566881 cites W2766877209 @default.
- W4385566881 cites W2767160539 @default.
- W4385566881 cites W2802595313 @default.
- W4385566881 cites W2809350318 @default.
- W4385566881 cites W2884106773 @default.
- W4385566881 cites W2887443913 @default.
- W4385566881 cites W2889167951 @default.
- W4385566881 cites W2889405224 @default.
- W4385566881 cites W2895876294 @default.
- W4385566881 cites W2914821059 @default.
- W4385566881 cites W2932115805 @default.
- W4385566881 cites W2940510210 @default.
- W4385566881 cites W3005842919 @default.
- W4385566881 cites W3011766772 @default.
- W4385566881 cites W3026117520 @default.
- W4385566881 cites W3029779278 @default.
- W4385566881 cites W3030830334 @default.
- W4385566881 cites W3037004444 @default.
- W4385566881 cites W3039956647 @default.
- W4385566881 cites W3043441936 @default.
- W4385566881 cites W3082193718 @default.
- W4385566881 cites W3124898479 @default.
- W4385566881 cites W3133778268 @default.
- W4385566881 cites W3149994345 @default.
- W4385566881 cites W3166333072 @default.
- W4385566881 cites W3166832288 @default.
- W4385566881 cites W3170313526 @default.
- W4385566881 cites W3176939301 @default.
- W4385566881 cites W3182065328 @default.
- W4385566881 cites W3207272907 @default.
- W4385566881 cites W3212416106 @default.
- W4385566881 cites W4224253938 @default.
- W4385566881 cites W4283644828 @default.
- W4385566881 cites W4283753060 @default.
- W4385566881 doi "https://doi.org/10.1016/j.measurement.2023.113414" @default.
- W4385566881 hasPublicationYear "2023" @default.
- W4385566881 type Work @default.
- W4385566881 citedByCount "0" @default.
- W4385566881 crossrefType "journal-article" @default.
- W4385566881 hasAuthorship W4385566881A5027044291 @default.
- W4385566881 hasAuthorship W4385566881A5034333151 @default.
- W4385566881 hasAuthorship W4385566881A5034422878 @default.
- W4385566881 hasAuthorship W4385566881A5049692788 @default.
- W4385566881 hasAuthorship W4385566881A5064572835 @default.
- W4385566881 hasAuthorship W4385566881A5066897891 @default.
- W4385566881 hasAuthorship W4385566881A5069181198 @default.
- W4385566881 hasAuthorship W4385566881A5079981761 @default.
- W4385566881 hasConcept C10390562 @default.
- W4385566881 hasConcept C11413529 @default.
- W4385566881 hasConcept C121332964 @default.
- W4385566881 hasConcept C127313418 @default.
- W4385566881 hasConcept C127413603 @default.
- W4385566881 hasConcept C138885662 @default.
- W4385566881 hasConcept C154945302 @default.
- W4385566881 hasConcept C158525013 @default.
- W4385566881 hasConcept C165205528 @default.
- W4385566881 hasConcept C175551986 @default.
- W4385566881 hasConcept C198394728 @default.
- W4385566881 hasConcept C199360897 @default.
- W4385566881 hasConcept C205203396 @default.
- W4385566881 hasConcept C24890656 @default.
- W4385566881 hasConcept C2779843651 @default.
- W4385566881 hasConcept C31447003 @default.
- W4385566881 hasConcept C31972630 @default.
- W4385566881 hasConcept C41008148 @default.
- W4385566881 hasConcept C41895202 @default.
- W4385566881 hasConcept C66938386 @default.
- W4385566881 hasConceptScore W4385566881C10390562 @default.
- W4385566881 hasConceptScore W4385566881C11413529 @default.
- W4385566881 hasConceptScore W4385566881C121332964 @default.
- W4385566881 hasConceptScore W4385566881C127313418 @default.
- W4385566881 hasConceptScore W4385566881C127413603 @default.
- W4385566881 hasConceptScore W4385566881C138885662 @default.
- W4385566881 hasConceptScore W4385566881C154945302 @default.
- W4385566881 hasConceptScore W4385566881C158525013 @default.
- W4385566881 hasConceptScore W4385566881C165205528 @default.
- W4385566881 hasConceptScore W4385566881C175551986 @default.
- W4385566881 hasConceptScore W4385566881C198394728 @default.
- W4385566881 hasConceptScore W4385566881C199360897 @default.