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 *

137 related articles for article (PubMed ID: 35843740)

  • 1. Bearing multi-fault diagnosis with iterative generalized demodulation guided by enhanced rotational frequency matching under time-varying speed conditions.
    Zhao D; Li J; Cheng W; Wen W
    ISA Trans; 2023 Feb; 133():518-528. PubMed ID: 35843740
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bearing fault diagnosis under time-varying rotational speed via the fault characteristic order (FCO) index based demodulation and the stepwise resampling in the fault phase angle (FPA) domain.
    Wang T; Chu F
    ISA Trans; 2019 Nov; 94():391-400. PubMed ID: 31053361
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multiple time-frequency curve extraction Matlab code and its application to automatic bearing fault diagnosis under time-varying speed conditions.
    Huang H; Baddour N; Liang M
    MethodsX; 2019; 6():1415-1432. PubMed ID: 31245281
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Iterative characteristic ridge extraction for bearing fault detection under variable rotational speed conditions.
    Li Y; Yang Y; Chen Y; Chen Z
    ISA Trans; 2022 Jan; 119():172-183. PubMed ID: 33676740
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Novel Method for Bearing Fault Diagnosis under Variable Speed Based on Envelope Spectrum Fault Characteristic Frequency Band Identification.
    Pei D; Yue J; Jiao J
    Sensors (Basel); 2023 Apr; 23(9):. PubMed ID: 37177539
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Novel Fault Feature Recognition Method for Time-Varying Signals and Its Application to Planetary Gearbox Fault Diagnosis under Variable Speed Conditions.
    Lv Y; Pan B; Yi C; Ma Y
    Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31319628
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Hybrid SVD-Based Denoising and Self-Adaptive TMSST for High-Speed Train Axle Bearing Fault Detection.
    Deng F; Liu C; Liu Y; Hao R
    Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577232
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Rolling element bearing defect detection using the generalized synchrosqueezing transform guided by time-frequency ridge enhancement.
    Li C; Sanchez V; Zurita G; Cerrada Lozada M; Cabrera D
    ISA Trans; 2016 Jan; 60():274-284. PubMed ID: 26542359
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Synchrosqueezed Transform Method Based on Fast Kurtogram and Demodulation and Piecewise Aggregate Approximation for Bearing Fault Diagnosis.
    Chen Y; Hu L; Hu N; Zeng J
    Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676121
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Sparse and low-rank decomposition of the time-frequency representation for bearing fault diagnosis under variable speed conditions.
    Wang R; Fang H; Yu L; Yu L; Chen J
    ISA Trans; 2022 Sep; 128(Pt B):579-598. PubMed ID: 34952690
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A Novel Demodulation Analysis Technique for Bearing Fault Diagnosis via Energy Separation and Local Low-Rank Matrix Approximation.
    Lv Y; Ge M; Zhang Y; Yi C; Ma Y
    Sensors (Basel); 2019 Aug; 19(17):. PubMed ID: 31480314
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multiband Envelope Spectra Extraction for Fault Diagnosis of Rolling Element Bearings.
    Duan J; Shi T; Zhou H; Xuan J; Zhang Y
    Sensors (Basel); 2018 May; 18(5):. PubMed ID: 29738474
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Optimal Resonant Band Demodulation Based on an Improved Correlated Kurtosis and Its Application in Bearing Fault Diagnosis.
    Chen X; Zhang B; Feng F; Jiang P
    Sensors (Basel); 2017 Feb; 17(2):. PubMed ID: 28208820
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A new method to select frequency band for vibration signal demodulation and condition estimation of rolling bearings.
    Yu Y; Qian M; Chen T; Guo L; Gao H; Zhang G
    ISA Trans; 2023 Feb; 133():575-596. PubMed ID: 35934553
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Rolling Bearing Fault Diagnosis Based on an Improved HTT Transform.
    Pang B; Tang G; Tian T; Zhou C
    Sensors (Basel); 2018 Apr; 18(4):. PubMed ID: 29662013
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Weighted envelope spectrum based on the spectral coherence for bearing diagnosis.
    Zhang B; Miao Y; Lin J; Li H
    ISA Trans; 2022 Apr; 123():398-412. PubMed ID: 34034880
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Spectral envelope-based adaptive empirical Fourier decomposition method and its application to rolling bearing fault diagnosis.
    Zheng J; Cao S; Pan H; Ni Q
    ISA Trans; 2022 Oct; 129(Pt B):476-492. PubMed ID: 35292169
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bearing Fault Diagnosis Based on Energy Spectrum Statistics and Modified Mayfly Optimization Algorithm.
    Liu Y; Chai Y; Liu B; Wang Y
    Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33806961
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Bearing Fault Diagnosis Method Based on PAVME and MEDE.
    Yan X; Xu Y; She D; Zhang W
    Entropy (Basel); 2021 Oct; 23(11):. PubMed ID: 34828100
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.