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 *

193 related articles for article (PubMed ID: 31955946)

  • 1. Rolling element bearing fault identification using a novel three-step adaptive and automated filtration scheme based on Gini index.
    Albezzawy MN; Nassef MG; Sawalhi N
    ISA Trans; 2020 Jun; 101():453-460. PubMed ID: 31955946
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-objective iterative optimization algorithm based optimal wavelet filter selection for multi-fault diagnosis of rolling element bearings.
    Ding C; Zhao M; Lin J; Jiao J
    ISA Trans; 2019 May; 88():199-215. PubMed ID: 30578001
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. The Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings.
    Sun P; Liao Y; Lin J
    Sensors (Basel); 2017 Mar; 17(3):. PubMed ID: 28282883
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. An enhanced rolling bearing fault detection method combining sparse code shrinkage denoising with fast spectral correlation.
    Li J; Yu Q; Wang X; Zhang Y
    ISA Trans; 2020 Jul; 102():335-346. PubMed ID: 32122637
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Adaptive filtering enhanced windowed correlated kurtosis for multiple faults diagnosis of locomotive bearings.
    Zhang C; Liu Y; Wan F; Chen B; Liu J; Hu B
    ISA Trans; 2020 Jun; 101():421-429. PubMed ID: 32007258
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Bearing Fault Detection Based on Empirical Wavelet Transform and Correlated Kurtosis by Acoustic Emission.
    Gao Z; Lin J; Wang X; Xu X
    Materials (Basel); 2017 May; 10(6):. PubMed ID: 28772929
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Rolling Element Bearing Fault Diagnosis under Impulsive Noise Environment Based on Cyclic Correntropy Spectrum.
    Zhao X; Qin Y; He C; Jia L; Kou L
    Entropy (Basel); 2019 Jan; 21(1):. PubMed ID: 33266766
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Novel Hybrid Technique Combining Improved Cepstrum Pre-Whitening and High-Pass Filtering for Effective Bearing Fault Diagnosis Using Vibration Data.
    Kiakojouri A; Lu Z; Mirring P; Powrie H; Wang L
    Sensors (Basel); 2023 Nov; 23(22):. PubMed ID: 38005435
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Periodical sparse low-rank matrix estimation algorithm for fault detection of rolling bearings.
    Wang B; Liao Y; Ding C; Zhang X
    ISA Trans; 2020 Jun; 101():366-378. PubMed ID: 32035636
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-objective Informative Frequency Band Selection Based on Negentropy-induced Grey Wolf Optimizer for Fault Diagnosis of Rolling Element Bearings.
    Gu X; Yang S; Liu Y; Hao R; Liu Z
    Sensors (Basel); 2020 Mar; 20(7):. PubMed ID: 32225091
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Research on unknown fault diagnosis of rolling bearings based on parameter-adaptive maximum correlation kurtosis deconvolution.
    He Y; Wang H; Xue H; Zhang T
    Rev Sci Instrum; 2021 May; 92(5):055103. PubMed ID: 34243358
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of Mutual Information-Sample Entropy Based MED-ICEEMDAN De-Noising Scheme for Weak Fault Diagnosis of Hoist Bearing.
    Yang F; Kou Z; Wu J; Li T
    Entropy (Basel); 2018 Sep; 20(9):. PubMed ID: 33265756
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. The Detection of Motor Bearing Fault with Maximal Overlap Discrete Wavelet Packet Transform and Teager Energy Adaptive Spectral Kurtosis.
    Yang DM
    Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34696108
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.