BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

435 related articles for article (PubMed ID: 30578001)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. Weak Fault Feature Extraction of Rolling Bearings Based on an Improved Kurtogram.
    Chen X; Feng F; Zhang B
    Sensors (Basel); 2016 Sep; 16(9):. PubMed ID: 27649171
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. A Rolling Bearing Fault Diagnosis Method Based on the WOA-VMD and the GAT.
    Wang Y; Zhang S; Cao R; Xu D; Fan Y
    Entropy (Basel); 2023 Jun; 25(6):. PubMed ID: 37372233
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. PSO-MCKD-MFFResnet based fault diagnosis algorithm for hydropower units.
    Li X; Xu Z; Wang Y
    Math Biosci Eng; 2023 Jun; 20(8):14117-14135. PubMed ID: 37679128
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Selective weighted multi-scale morphological filter for fault feature extraction of rolling bearings.
    Yu J; Xiao C; Hu T; Gao Y
    ISA Trans; 2023 Jan; 132():544-556. PubMed ID: 35810026
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Period-oriented multi-hierarchy deconvolution and its application for bearing fault diagnosis.
    Miao Y; Zhang B; Zhao M; Lin J
    ISA Trans; 2021 Aug; 114():455-469. PubMed ID: 33423766
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 22.