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 *

152 related articles for article (PubMed ID: 37177689)

  • 1. Method for Diagnosing Bearing Faults in Electromechanical Equipment Based on Improved Prototypical Networks.
    Wang Z; Shen H; Xiong W; Zhang X; Hou J
    Sensors (Basel); 2023 May; 23(9):. PubMed ID: 37177689
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Intelligent Fault Diagnosis of Rolling Bearing Based on Gramian Angular Difference Field and Improved Dual Attention Residual Network.
    Tong A; Zhang J; Xie L
    Sensors (Basel); 2024 Mar; 24(7):. PubMed ID: 38610367
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Novel Method for Rolling Bearing Fault Diagnosis Based on Gramian Angular Field and CNN-ViT.
    Zhou Z; Ai Q; Lou P; Hu J; Yan J
    Sensors (Basel); 2024 Jun; 24(12):. PubMed ID: 38931750
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A New Bearing Fault Diagnosis Method Based on Capsule Network and Markov Transition Field/Gramian Angular Field.
    Han B; Zhang H; Sun M; Wu F
    Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833837
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Intelligent fault diagnosis algorithm of rolling bearing based on optimization algorithm fusion convolutional neural network.
    Wang Q; Sun Z; Zhu Y; Song C; Li D
    Math Biosci Eng; 2023 Nov; 20(11):19963-19982. PubMed ID: 38052632
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Rolling bearing fault diagnosis based on Gramian angular difference field and improved channel attention model.
    Wei L; Peng X; Cao Y
    PeerJ Comput Sci; 2024; 10():e1807. PubMed ID: 38259879
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions.
    Toma RN; Piltan F; Im K; Shon D; Yoon TH; Yoo DS; Kim JM
    Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808372
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fault diagnosis for wind turbines with graph neural network model based on one-shot learning.
    Yang S; Zhou Y; Chen X; Li C; Song H
    R Soc Open Sci; 2023 Jul; 10(7):230706. PubMed ID: 37416824
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning.
    Xu G; Liu M; Jiang Z; Söffker D; Shen W
    Sensors (Basel); 2019 Mar; 19(5):. PubMed ID: 30832449
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fault diagnosis of rolling bearings using an Improved Multi-Scale Convolutional Neural Network with Feature Attention mechanism.
    Xu Z; Li C; Yang Y
    ISA Trans; 2021 Apr; 110():379-393. PubMed ID: 33158549
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Rolling Bearing Fault Diagnosis Based on Markov Transition Field and Residual Network.
    Yan J; Kan J; Luo H
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632345
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Model-Agnostic Meta-Baseline Method for Few-Shot Fault Diagnosis of Wind Turbines.
    Liu X; Teng W; Liu Y
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590978
    [TBL] [Abstract][Full Text] [Related]  

  • 13. DiffFSRE: Diffusion-Enhanced Prototypical Network for Few-Shot Relation Extraction.
    Chen Y; Shi B
    Entropy (Basel); 2024 Apr; 26(5):. PubMed ID: 38785601
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Few-Shot Rolling Bearing Fault Diagnosis with Metric-Based Meta Learning.
    Wang S; Wang D; Kong D; Wang J; Li W; Zhou S
    Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33187173
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bearing fault diagnosis based on Gramian angular field and DenseNet.
    Zhou Y; Long X; Sun M; Chen Z
    Math Biosci Eng; 2022 Sep; 19(12):14086-14101. PubMed ID: 36654081
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions.
    Lee CY; Zhuo GL; Le TA
    Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808201
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Lite and Efficient Deep Learning Model for Bearing Fault Diagnosis Using the CWRU Dataset.
    Yoo Y; Jo H; Ban SW
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991869
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bearing Fault Reconstruction Diagnosis Method Based on ResNet-152 with Multi-Scale Stacked Receptive Field.
    Yu H; Miao X; Wang H
    Sensors (Basel); 2022 Feb; 22(5):. PubMed ID: 35270851
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MAB-DrNet: Bearing Fault Diagnosis Method Based on an Improved Dilated Convolutional Neural Network.
    Zhang F; Yin Z; Xu F; Li Y; Xu G
    Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420699
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An improved re-parameterized visual geometry group network for rolling bearing fault diagnosis.
    Ding S; Chen R; Liu H; Liu F; Zhang J
    Rev Sci Instrum; 2023 Mar; 94(3):035007. PubMed ID: 37012762
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.