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 *

150 related articles for article (PubMed ID: 37177539)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Tacholess envelope order analysis and its application to fault detection of rolling element bearings with varying speeds.
    Zhao M; Lin J; Xu X; Lei Y
    Sensors (Basel); 2013 Aug; 13(8):10856-75. PubMed ID: 23959244
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Simulation of Friction Fault of Lightly Loaded Flywheel Bearing Cage and Its Fault Characteristics.
    Chen C; Deng Z; Wang H; He T
    Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36366044
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Automatic Bearing Fault Diagnosis Method Based on Characteristics Frequency Ratio.
    Wu D; Wang J; Wang H; Liu H; Lai L; He T; Xie T
    Sensors (Basel); 2020 Mar; 20(5):. PubMed ID: 32164174
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 88():170-185. PubMed ID: 30558907
    [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. 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]  

  • 12. Application of Teager-Kaiser Energy Operator in the Early Fault Diagnosis of Rolling Bearings.
    Shi X; Zhang Z; Xia Z; Li B; Gu X; Shi T
    Sensors (Basel); 2022 Sep; 22(17):. PubMed ID: 36081131
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Optimal Sub-Band Analysis Based on the Envelope Power Spectrum for Effective Fault Detection in Bearing under Variable, Low Speeds.
    Nguyen HN; Kim J; Kim JM
    Sensors (Basel); 2018 May; 18(5):. PubMed ID: 29723996
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Rolling Bearing Composite Fault Diagnosis Method Based on Enhanced Harmonic Vector Analysis.
    Lu J; Yin Q; Li S
    Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299842
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. An Early Fault Diagnosis Method of Rolling Bearings on the Basis of Adaptive Frequency Window and Sparse Coding Shrinkage.
    Wan S; Peng B
    Entropy (Basel); 2019 Jun; 21(6):. PubMed ID: 33267298
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-fault detection of rolling element bearings under harsh working condition using IMF-based adaptive envelope order analysis.
    Zhao M; Lin J; Xu X; Li X
    Sensors (Basel); 2014 Oct; 14(11):20320-46. PubMed ID: 25353982
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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; 19(18):. PubMed ID: 31527448
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.