These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

330 related articles for article (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; 24(7):. PubMed ID: 35885150
    [TBL] [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; 23(6):. PubMed ID: 34208777
    [TBL] [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; 24(6):. PubMed ID: 35741545
    [TBL] [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; 25(6):. PubMed ID: 37372233
    [TBL] [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; 22(16):. PubMed ID: 36016042
    [TBL] [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; 20(7):. PubMed ID: 32244305
    [TBL] [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; 94(7):. PubMed ID: 37504502
    [TBL] [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; 24(3):. PubMed ID: 38339442
    [TBL] [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; 23(5):. PubMed ID: 33923199
    [TBL] [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; 21(4):. PubMed ID: 33267118
    [TBL] [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; 22(9):. PubMed ID: 33286764
    [TBL] [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; 23(8):. PubMed ID: 34441180
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Weak Fault Feature Extraction of Rolling Bearings Based on Adaptive Variational Modal Decomposition and Multiscale Fuzzy Entropy.
    Lv Z; Han S; Peng L; Yang L; Cao Y
    Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746283
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fault Diagnosis for Rolling Bearings Using Optimized Variational Mode Decomposition and Resonance Demodulation.
    Zhang C; Wang Y; Deng W
    Entropy (Basel); 2020 Jul; 22(7):. PubMed ID: 33286510
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Intelligent Fault Identification for Rolling Bearings Fusing Average Refined Composite Multiscale Dispersion Entropy-Assisted Feature Extraction and SVM with Multi-Strategy Enhanced Swarm Optimization.
    Shi H; Fu W; Li B; Shao K; Yang D
    Entropy (Basel); 2021 Apr; 23(5):. PubMed ID: 33923036
    [TBL] [Abstract][Full Text] [Related]  

  • 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; 23(20):. PubMed ID: 37896721
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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; 24(2):. PubMed ID: 35205492
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Rolling Bearing Fault Diagnosis Based on SABO-VMD and WMH-KNN.
    Liu G; Ma Y; Wang N
    Sensors (Basel); 2024 Aug; 24(15):. PubMed ID: 39124050
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Vibration Signal Noise-Reduction Method of Slewing Bearings Based on the Hybrid Reinforcement Chameleon Swarm Algorithm, Variate Mode Decomposition, and Wavelet Threshold (HRCSA-VMD-WT) Integrated Model.
    Li Z; Yao X; Zhang C; Qian Y; Zhang Y
    Sensors (Basel); 2024 May; 24(11):. PubMed ID: 38894135
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The IBA-ISMO Method for Rolling Bearing Fault Diagnosis Based on VMD-Sample Entropy.
    Zhuang D; Liu H; Zheng H; Xu L; Gu Z; Cheng G; Qiu J
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679788
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.