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Journal Abstract Search

189 related items for PubMed ID: 33286510

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. Fault Feature Extraction Method for Rolling Bearings Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Variational Mode Decomposition.
    Wang L, Li H, Xi T, Wei S.
    Sensors (Basel); 2023 Nov 27; 23(23):. PubMed ID: 38067814
    [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
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  • 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
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  • 8. MVMD-MOMEDA-TEO Model and Its Application in Feature Extraction for Rolling Bearings.
    Li Z, Ma J, Wang X, Wu J.
    Entropy (Basel); 2019 Mar 27; 21(4):. PubMed ID: 33267045
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  • 9. Early fault feature extraction of bearings based on Teager energy operator and optimal VMD.
    Xu B, Zhou F, Li H, Yan B, Liu Y.
    ISA Trans; 2019 Mar 27; 86():249-265. PubMed ID: 30473148
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  • 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
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  • 11. A Novel Fault Detection Method for Rolling Bearings Based on Non-Stationary Vibration Signature Analysis.
    Zhen D, Guo J, Xu Y, Zhang H, Gu F.
    Sensors (Basel); 2019 Sep 16; 19(18):. PubMed ID: 31527448
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  • 12. 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
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  • 14. Feature Enhancement Method of Rolling Bearing Based on K-Adaptive VMD and RBF-Fuzzy Entropy.
    Jiao J, Yue J, Pei D.
    Entropy (Basel); 2022 Jan 27; 24(2):. PubMed ID: 35205492
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  • 15. Application of EEMD and improved frequency band entropy in bearing fault feature extraction.
    Li H, Liu T, Wu X, Chen Q.
    ISA Trans; 2019 May 27; 88():170-185. PubMed ID: 30558907
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  • 16. Fault Diagnosis Method for Rolling Bearings Based on Grey Relation Degree.
    Mao Y, Xin J, Zang L, Jiao J, Xue C.
    Entropy (Basel); 2024 Feb 29; 26(3):. PubMed ID: 38539734
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  • 17. 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
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  • 18. 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
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