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 *

284 related articles for article (PubMed ID: 36032001)

  • 1. An improved Autogram and MOMEDA method to detect weak compound fault in rolling bearings.
    Xie X; Yang Z; Zhang L; Zeng G; Wang X; Zhang P; Chen G
    Math Biosci Eng; 2022 Jul; 19(10):10424-10444. PubMed ID: 36032001
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Early Fault Detection of Rolling Bearings Based on Time-Varying Filtering Empirical Mode Decomposition and Adaptive Multipoint Optimal Minimum Entropy Deconvolution Adjusted.
    Song S; Wang W
    Entropy (Basel); 2023 Oct; 25(10):. PubMed ID: 37895573
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Research on Extraction of Compound Fault Characteristics for Rolling Bearings in Wind Turbines.
    Xiang L; Su H; Li Y
    Entropy (Basel); 2020 Jun; 22(6):. PubMed ID: 33286455
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Rolling Bearing Fault Feature Extraction Algorithm Based on IPOA-VMD and MOMEDA.
    Yi K; Cai C; Tang W; Dai X; Wang F; Wen F
    Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896713
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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; 21(4):. PubMed ID: 33267045
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An Optimal Parameter Selection Method for MOMEDA Based on
    Li Z; Ma J; Wang X; Li X
    Sensors (Basel); 2021 Jan; 21(2):. PubMed ID: 33451014
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of Multiple Faults in Gearbox Based on Multipoint Optional Minimum Entropy Deconvolution Adjusted and Permutation Entropy.
    Sun H; Wu C; Liang X; Zeng Q
    Entropy (Basel); 2018 Nov; 20(11):. PubMed ID: 33266574
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Compound Fault Diagnosis of a Wind Turbine Gearbox Based on MOMEDA and Parallel Parameter Optimized Resonant Sparse Decomposition.
    Feng Y; Zhang X; Jiang H; Li J
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298372
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Particle swarm optimization algorithm to solve the deconvolution problem for rolling element bearing fault diagnosis.
    Cheng Y; Wang Z; Zhang W; Huang G
    ISA Trans; 2019 Jul; 90():244-267. PubMed ID: 30732991
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Compound fault extraction method via self-adaptively determining the number of decomposition layers of the variational mode decomposition.
    Zhang Z; Zhang X; Zhang P; Wu F; Li X
    Rev Sci Instrum; 2018 Aug; 89(8):085110. PubMed ID: 30184705
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Compound Fault Feature Extraction of Rolling Bearing Acoustic Signals Based on AVMD-IMVO-MCKD.
    Wu S; Zhou J; Liu T
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146118
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Application of Adaptive MOMEDA with Iterative Autocorrelation to Enhance Weak Features of Hoist Bearings.
    Li T; Kou Z; Wu J; Yang F
    Entropy (Basel); 2021 Jun; 23(7):. PubMed ID: 34206517
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Early Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by Maximum Correlated Kurtosis Deconvolution.
    Jia F; Lei Y; Shan H; Lin J
    Sensors (Basel); 2015 Nov; 15(11):29363-77. PubMed ID: 26610501
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Blind Deconvolution Based on Correlation Spectral Negentropy for Bearing Fault.
    Tian T; Tang GJ; Tian YC; Wang XL
    Entropy (Basel); 2023 Mar; 25(3):. PubMed ID: 36981430
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A New Compound Fault Feature Extraction Method Based on Multipoint Kurtosis and Variational Mode Decomposition.
    Cai W; Yang Z; Wang Z; Wang Y
    Entropy (Basel); 2018 Jul; 20(7):. PubMed ID: 33265610
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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; 23(23):. PubMed ID: 38067814
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A New Method of Wheelset Bearing Fault Diagnosis.
    Sun R; Yang J; Yao D; Wang J
    Entropy (Basel); 2022 Sep; 24(10):. PubMed ID: 37420401
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis.
    Cheng Y; Wang Z; Chen B; Zhang W; Huang G
    ISA Trans; 2019 Aug; 91():218-234. PubMed ID: 30738582
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fault Diagnosis of Rolling Element Bearings with a Two-Step Scheme Based on Permutation Entropy and Random Forests.
    Xue X; Li C; Cao S; Sun J; Liu L
    Entropy (Basel); 2019 Jan; 21(1):. PubMed ID: 33266812
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Novel Method for Multi-Fault Feature Extraction of a Gearbox under Strong Background Noise.
    Wang Z; Wang J; Zhao Z; Wang R
    Entropy (Basel); 2017 Dec; 20(1):. PubMed ID: 33265100
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.