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Journal Abstract Search

331 related items for PubMed ID: 35885150

  • 1. Rolling Bearing Fault Diagnosis Based on WOA-VMD-MPE and MPSO-LSSVM.
    Jin Z, Chen G, Yang Z.
    Entropy (Basel); 2022 Jul 03; 24(7):. PubMed ID: 35885150
    [Abstract] [Full Text] [Related]

  • 2. Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM.
    Ye M, Yan X, Jia M.
    Entropy (Basel); 2021 Jun 16; 23(6):. PubMed ID: 34208777
    [Abstract] [Full Text] [Related]

  • 3. Research on Fault Diagnosis of Rolling Bearings Based on Variational Mode Decomposition Improved by the Niche Genetic Algorithm.
    Shi R, Wang B, Wang Z, Liu J, Feng X, Dong L.
    Entropy (Basel); 2022 Jun 14; 24(6):. PubMed ID: 35741545
    [Abstract] [Full Text] [Related]

  • 4. A Rolling Bearing Fault Diagnosis Method Based on the WOA-VMD and the GAT.
    Wang Y, Zhang S, Cao R, Xu D, Fan Y.
    Entropy (Basel); 2023 Jun 01; 25(6):. PubMed ID: 37372233
    [Abstract] [Full Text] [Related]

  • 5. Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM.
    Zhou J, Xiao M, Niu Y, Ji G.
    Sensors (Basel); 2022 Aug 21; 22(16):. PubMed ID: 36016042
    [Abstract] [Full Text] [Related]

  • 6. GMPSO-VMD Algorithm and Its Application to Rolling Bearing Fault Feature Extraction.
    Ding J, Huang L, Xiao D, Li X.
    Sensors (Basel); 2020 Mar 31; 20(7):. PubMed ID: 32244305
    [Abstract] [Full Text] [Related]

  • 7. A novel rolling bearing fault diagnosis method based on parameter optimization variational mode decomposition with feature weighted reconstruction and multi-target attention convolutional neural networks under small samples.
    Hu C, Li Y, Chen Z, Men Z.
    Rev Sci Instrum; 2023 Jul 01; 94(7):. PubMed ID: 37504502
    [Abstract] [Full Text] [Related]

  • 8. Research on a Fault Diagnosis Method for Crankshafts Based on Improved Multi-Scale Permutation Entropy.
    Bie F, Shu Y, Lyu F, Liu X, Lu Y, Li Q, Zhang H, Ding X.
    Sensors (Basel); 2024 Jan 23; 24(3):. PubMed ID: 38339442
    [Abstract] [Full Text] [Related]

  • 9. Application of Parameter Optimized Variational Mode Decomposition Method in Fault Feature Extraction of Rolling Bearing.
    Liang T, Lu H, Sun H.
    Entropy (Basel); 2021 Apr 24; 23(5):. PubMed ID: 33923199
    [Abstract] [Full Text] [Related]

  • 10. Fault Diagnosis for Rolling Bearings Based on Fine-Sorted Dispersion Entropy and SVM Optimized with Mutation SCA-PSO.
    Fu W, Tan J, Xu Y, Wang K, Chen T.
    Entropy (Basel); 2019 Apr 16; 21(4):. PubMed ID: 33267118
    [Abstract] [Full Text] [Related]

  • 11. A Novel Method Based on Multi-Island Genetic Algorithm Improved Variational Mode Decomposition and Multi-Features for Fault Diagnosis of Rolling Bearing.
    Liang T, Lu H.
    Entropy (Basel); 2020 Sep 07; 22(9):. PubMed ID: 33286764
    [Abstract] [Full Text] [Related]

  • 12. Fault Recognition of Rolling Bearings Based on Parameter Optimized Multi-Scale Permutation Entropy and Gath-Geva.
    Wang H, Li Q, Yang S, Liu Y.
    Entropy (Basel); 2021 Aug 13; 23(8):. PubMed ID: 34441180
    [Abstract] [Full Text] [Related]

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  • 14. Fault Diagnosis for Rolling Bearings Using Optimized Variational Mode Decomposition and Resonance Demodulation.
    Zhang C, Wang Y, Deng W.
    Entropy (Basel); 2020 Jul 03; 22(7):. PubMed ID: 33286510
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  • 16. Adaptive VMD-K-SVD-Based Rolling Bearing Fault Signal Enhancement Study.
    Mao M, Zeng K, Tan Z, Zeng Z, Hu Z, Chen X, Qin C.
    Sensors (Basel); 2023 Oct 22; 23(20):. PubMed ID: 37896721
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  • 18. Rolling Bearing Fault Diagnosis Based on SABO-VMD and WMH-KNN.
    Liu G, Ma Y, Wang N.
    Sensors (Basel); 2024 Aug 02; 24(15):. PubMed ID: 39124050
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