BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

408 related articles for article (PubMed ID: 31732141)

  • 1. A novel feature extraction method for bearing fault classification with one dimensional ternary patterns.
    Kuncan M; Kaplan K; Mi Naz MR; Kaya Y; Ertunç HM
    ISA Trans; 2020 May; 100():346-357. PubMed ID: 31732141
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development of Intelligent Fault Diagnosis Technique of Rotary Machine Element Bearing: A Machine Learning Approach.
    Saha DK; Hoque ME; Badihi H
    Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161814
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel fault classification feature extraction method for rolling bearing based on multi-sensor fusion technology and EB-1D-TP encoding algorithm.
    Pan Z; Zhang Z; Meng Z; Wang Y
    ISA Trans; 2023 Nov; 142():427-444. PubMed ID: 37573188
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings.
    Saucedo-Dorantes JJ; Arellano-Espitia F; Delgado-Prieto M; Osornio-Rios RA
    Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502720
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Application of higher order spectral features and support vector machines for bearing faults classification.
    Saidi L; Ben Ali J; Fnaiech F
    ISA Trans; 2015 Jan; 54():193-206. PubMed ID: 25282095
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis.
    Sohaib M; Kim CH; Kim JM
    Sensors (Basel); 2017 Dec; 17(12):. PubMed ID: 29232908
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A New Statistical Features Based Approach for Bearing Fault Diagnosis Using Vibration Signals.
    Altaf M; Akram T; Khan MA; Iqbal M; Ch MMI; Hsu CH
    Sensors (Basel); 2022 Mar; 22(5):. PubMed ID: 35271159
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Personalized Diagnosis Method to Detect Faults in a Bearing Based on Acceleration Sensors and an FEM Simulation Driving Support Vector Machine.
    Liu X; Huang H; Xiang J
    Sensors (Basel); 2020 Jan; 20(2):. PubMed ID: 31940822
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning.
    Li C; Sánchez RV; Zurita G; Cerrada M; Cabrera D
    Sensors (Basel); 2016 Jun; 16(6):. PubMed ID: 27322273
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability.
    Xie W; Li Z; Xu Y; Gardoni P; Li W
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35591006
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bearing Fault Diagnosis Considering the Effect of Imbalance Training Sample.
    Lin L; Wang B; Qi J; Wang D; Huang N
    Entropy (Basel); 2019 Apr; 21(4):. PubMed ID: 33267100
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Graph Multi-Scale Permutation Entropy for Bearing Fault Diagnosis.
    Fan Q; Liu Y; Yang J; Zhang D
    Sensors (Basel); 2023 Dec; 24(1):. PubMed ID: 38202917
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bearing Fault Diagnosis Using a Hybrid Fuzzy V-Structure Fault Estimator Scheme.
    Piltan F; Kim JM
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679818
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Intelligent Fault Diagnosis and Forecast of Time-Varying Bearing Based on Deep Learning VMD-DenseNet.
    Lin SL
    Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833542
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DCNN for condition monitoring and fault detection in rotating machines and its contribution to the understanding of machine nature.
    González-Muñiz A; Díaz I; Cuadrado AA
    Heliyon; 2020 Feb; 6(2):e03395. PubMed ID: 32090183
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dataset of single and double faults scenarios using vibration signals from a rotary machine.
    Marshall L; Jensen D
    Data Brief; 2023 Aug; 49():109358. PubMed ID: 37456108
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of localized defects and fault size estimation of taper roller bearing (NBC_30205) with signal processing using the Shannon entropy method in MATLAB for automobile industries applications.
    Kumar R; Singh J; Sharma S; Li C; Królczyk G; Eldin EMT; Wojciechowski S
    Heliyon; 2022 Dec; 8(12):e12053. PubMed ID: 36536921
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 21.