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 *

113 related articles for article (PubMed ID: 34991882)

  • 1. Symplectic Ramanujan Mode Decomposition and its application to compound fault diagnosis of bearings.
    Cheng J; Yang Y; Wu X; Wang J; Wu Z; Cheng J
    ISA Trans; 2022 Oct; 129(Pt A):495-503. PubMed ID: 34991882
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Enhanced periodic mode decomposition and its application to composite fault diagnosis of rolling bearings.
    Cheng J; Yang Y; Shao H; Pan H; Zheng J; Cheng J
    ISA Trans; 2022 Jun; 125():474-491. PubMed ID: 34284879
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Cycle kurtosis entropy guided symplectic geometry mode decomposition for detecting faults in rotating machinery.
    Guo J; Si Z; Xiang J
    ISA Trans; 2023 Jul; 138():546-561. PubMed ID: 36966059
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Negentropy Spectrum Decomposition and Its Application in Compound Fault Diagnosis of Rolling Bearing.
    Xu Y; Chen J; Ma C; Zhang K; Cao J
    Entropy (Basel); 2019 May; 21(5):. PubMed ID: 33267203
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. A Fault Diagnosis Approach for Rolling Bearing Integrated SGMD, IMSDE and Multiclass Relevance Vector Machine.
    Yan X; Liu Y; Jia M
    Sensors (Basel); 2020 Aug; 20(15):. PubMed ID: 32759788
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

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

  • 9. Impact fault detection of gearbox based on variational mode decomposition and coupled underdamped stochastic resonance.
    Li J; Wang H; Zhang J; Yao X; Zhang Y
    ISA Trans; 2019 Dec; 95():320-329. PubMed ID: 31078291
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Fault Feature Extraction of Hydraulic Pumps Based on Symplectic Geometry Mode Decomposition and Power Spectral Entropy.
    Zheng Z; Xin G
    Entropy (Basel); 2019 May; 21(5):. PubMed ID: 33267190
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Incipient fault feature extraction of rolling bearings based on the MVMD and Teager energy operator.
    Ma J; Wu J; Wang X
    ISA Trans; 2018 Sep; 80():297-311. PubMed ID: 29880275
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Local lowest-rank dynamic mode decomposition for transient feature extraction of rolling bearings.
    Lv Y; Zhang Q; Yuan R; Dang Z; Ge M
    ISA Trans; 2023 Feb; 133():539-558. PubMed ID: 35931585
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Compound fault diagnosis for rolling bearings method based on blind source separation and ensemble empirical mode decomposition.
    Wang H; Li R; Tang G; Yuan H; Zhao Q; Cao X
    PLoS One; 2014; 9(10):e109166. PubMed ID: 25289644
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bearing fault diagnosis based on singular value distribution of impulse response segment.
    Liang L; Liu C; Liu F
    ISA Trans; 2023 Mar; 134():511-528. PubMed ID: 36064496
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Hierarchical Amplitude-Aware Permutation Entropy-Based Fault Feature Extraction Method for Rolling Bearings.
    Li Z; Cui Y; Li L; Chen R; Dong L; Du J
    Entropy (Basel); 2022 Feb; 24(3):. PubMed ID: 35327821
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Investigation on enhanced mathematical morphological operators for bearing fault feature extraction.
    Chen B; Cheng Y; Zhang W; Mei G
    ISA Trans; 2022 Jul; 126():440-459. PubMed ID: 34330434
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.