BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

597 related articles for article (PubMed ID: 24981891)

  • 1. Semi-supervised weighted kernel clustering based on gravitational search for fault diagnosis.
    Li C; Zhou J
    ISA Trans; 2014 Sep; 53(5):1534-43. PubMed ID: 24981891
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A novel KFCM based fault diagnosis method for unknown faults in satellite reaction wheels.
    Hu D; Sarosh A; Dong YF
    ISA Trans; 2012 Mar; 51(2):309-16. PubMed ID: 22035775
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Vicinal support vector classifier using supervised kernel-based clustering.
    Yang X; Cao A; Song Q; Schaefer G; Su Y
    Artif Intell Med; 2014 Mar; 60(3):189-96. PubMed ID: 24637294
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Photovoltaic Array Fault Diagnosis Based on Gaussian Kernel Fuzzy C-Means Clustering Algorithm.
    Liu S; Dong L; Liao X; Cao X; Wang X
    Sensors (Basel); 2019 Mar; 19(7):. PubMed ID: 30925822
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bearing defect diagnosis based on semi-supervised kernel Local Fisher Discriminant Analysis using pseudo labels.
    Tao X; Ren C; Li Q; Guo W; Liu R; He Q; Zou J
    ISA Trans; 2021 Apr; 110():394-412. PubMed ID: 33069372
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Hydraulic Pump Fault Diagnosis Method Based on the Modified Ensemble Empirical Mode Decomposition and Wavelet Kernel Extreme Learning Machine Methods.
    Li Z; Jiang W; Zhang S; Sun Y; Zhang S
    Sensors (Basel); 2021 Apr; 21(8):. PubMed ID: 33917254
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bearing Fault Diagnosis Using a Particle Swarm Optimization-Least Squares Wavelet Support Vector Machine Classifier.
    Van M; Hoang DT; Kang HJ
    Sensors (Basel); 2020 Jun; 20(12):. PubMed ID: 32560493
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Semi-Supervised Approach to Bearing Fault Diagnosis under Variable Conditions towards Imbalanced Unlabeled Data.
    Chen X; Wang Z; Zhang Z; Jia L; Qin Y
    Sensors (Basel); 2018 Jun; 18(7):. PubMed ID: 29966321
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Novel Characteristic Frequency Bands Extraction Method for Automatic Bearing Fault Diagnosis Based on Hilbert Huang Transform.
    Yu X; Ding E; Chen C; Liu X; Li L
    Sensors (Basel); 2015 Nov; 15(11):27869-93. PubMed ID: 26540059
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier.
    Zhou S; Qian S; Chang W; Xiao Y; Cheng Y
    Sensors (Basel); 2018 Jun; 18(6):. PubMed ID: 29899216
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Compound feature selection and parameter optimization of ELM for fault diagnosis of rolling element bearings.
    Luo M; Li C; Zhang X; Li R; An X
    ISA Trans; 2016 Nov; 65():556-566. PubMed ID: 27622428
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Weighted Kernel Entropy Component Analysis for Fault Diagnosis of Rolling Bearings.
    Zhou H; Shi T; Liao G; Xuan J; Duan J; Su L; He Z; Lai W
    Sensors (Basel); 2017 Mar; 17(3):. PubMed ID: 28335480
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System.
    Yuan X; Song M; Zhou F; Chen Z; Li Y
    Comput Intell Neurosci; 2015; 2015():606734. PubMed ID: 26229526
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Mechanical Fault Diagnosis of High Voltage Circuit Breakers Based on Variational Mode Decomposition and Multi-Layer Classifier.
    Huang N; Chen H; Cai G; Fang L; Wang Y
    Sensors (Basel); 2016 Nov; 16(11):. PubMed ID: 27834902
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Novel Semi-Supervised Feature Extraction Method and Its Application in Automotive Assembly Fault Diagnosis Based on Vision Sensor Data.
    Zeng X; Yin SB; Guo Y; Lin JR; Zhu JG
    Sensors (Basel); 2018 Aug; 18(8):. PubMed ID: 30081511
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis.
    Song X; Wei W; Zhou J; Ji G; Hussain G; Xiao M; Geng G
    Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299863
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A fault diagnosis method for building electrical systems based on the combination of variational modal decomposition and new mutual dimensionless.
    Xiong J; Qian W; Cen J; Li J; Liu J; Tang L
    Sci Rep; 2023 Mar; 13(1):4567. PubMed ID: 36941283
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals.
    Wang Z; Yao L; Chen G; Ding J
    ISA Trans; 2021 Aug; 114():470-484. PubMed ID: 33454055
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Fault Diagnosis Methodology for Gear Pump Based on EEMD and Bayesian Network.
    Liu Z; Liu Y; Shan H; Cai B; Huang Q
    PLoS One; 2015; 10(5):e0125703. PubMed ID: 25938760
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An Improved Bearing Fault Diagnosis Model of Variational Mode Decomposition Based on Linked Extension Neural Network.
    Wang T; Wang J
    Comput Intell Neurosci; 2022; 2022():1615676. PubMed ID: 35510048
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 30.