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 *

144 related articles for article (PubMed ID: 33401511)

  • 1. A Deep Neural Network-Based Feature Fusion for Bearing Fault Diagnosis.
    Hoang DT; Tran XT; Van M; Kang HJ
    Sensors (Basel); 2021 Jan; 21(1):. PubMed ID: 33401511
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A fault diagnosis scheme for rotating machinery using hierarchical symbolic analysis and convolutional neural network.
    Yang Y; Zheng H; Li Y; Xu M; Chen Y
    ISA Trans; 2019 Aug; 91():235-252. PubMed ID: 30770156
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bearing-Fault Diagnosis with Signal-to-RGB Image Mapping and Multichannel Multiscale Convolutional Neural Network.
    Xu M; Gao J; Zhang Z; Wang H
    Entropy (Basel); 2022 Oct; 24(11):. PubMed ID: 36359658
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An Ensemble Convolutional Neural Networks for Bearing Fault Diagnosis Using Multi-Sensor Data.
    Liu Y; Yan X; Zhang CA; Liu W
    Sensors (Basel); 2019 Dec; 19(23):. PubMed ID: 31810161
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Novel Deep Convolutional Neural Network Combining Global Feature Extraction and Detailed Feature Extraction for Bearing Compound Fault Diagnosis.
    Han S; Niu P; Luo S; Li Y; Zhen D; Feng G; Sun S
    Sensors (Basel); 2023 Sep; 23(19):. PubMed ID: 37836890
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion.
    Gong W; Chen H; Zhang Z; Zhang M; Wang R; Guan C; Wang Q
    Sensors (Basel); 2019 Apr; 19(7):. PubMed ID: 30970672
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform.
    Li G; Deng C; Wu J; Xu X; Shao X; Wang Y
    Sensors (Basel); 2019 Jun; 19(12):. PubMed ID: 31248106
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis.
    Li S; Liu G; Tang X; Lu J; Hu J
    Sensors (Basel); 2017 Jul; 17(8):. PubMed ID: 28788099
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fault Diagnosis for High-Speed Train Axle-Box Bearing Using Simplified Shallow Information Fusion Convolutional Neural Network.
    Luo H; Bo L; Peng C; Hou D
    Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32878207
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Deep Learning Model for Fault Diagnosis with a Deep Neural Network and Feature Fusion on Multi-Channel Sensory Signals.
    Ye Q; Liu S; Liu C
    Sensors (Basel); 2020 Aug; 20(15):. PubMed ID: 32752215
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bearing fault diagnosis method based on attention mechanism and multilayer fusion network.
    Li X; Wan S; Liu S; Zhang Y; Hong J; Wang D
    ISA Trans; 2022 Sep; 128(Pt B):550-564. PubMed ID: 34933775
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Novel Anti-Noise Fault Diagnosis Approach for Rolling Bearings Based on Convolutional Neural Network Fusing Frequency Domain Feature Matching Algorithm.
    Zhou X; Mao S; Li M
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450970
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox.
    Jing L; Wang T; Zhao M; Wang P
    Sensors (Basel); 2017 Feb; 17(2):. PubMed ID: 28230767
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fault Diagnosis and Fault Frequency Determination of Permanent Magnet Synchronous Motor Based on Deep Learning.
    Wang CS; Kao IH; Perng JW
    Sensors (Basel); 2021 May; 21(11):. PubMed ID: 34067249
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bearing Fault Diagnosis Method Based on Convolutional Neural Network and Knowledge Graph.
    Li Z; Li Y; Sun Q; Qi B
    Entropy (Basel); 2022 Nov; 24(11):. PubMed ID: 36359679
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Imbalanced data fault diagnosis of hydrogen sensors using deep convolutional generative adversarial network with convolutional neural network.
    Sun Y; Zhao T; Zou Z; Chen Y; Zhang H
    Rev Sci Instrum; 2021 Sep; 92(9):095007. PubMed ID: 34598539
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sensor and Actuator Fault Diagnosis for Robot Joint Based on Deep CNN.
    Pan J; Qu L; Peng K
    Entropy (Basel); 2021 Jun; 23(6):. PubMed ID: 34203708
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fault Diagnosis Based on Chemical Sensor Data with an Active Deep Neural Network.
    Jiang P; Hu Z; Liu J; Yu S; Wu F
    Sensors (Basel); 2016 Oct; 16(10):. PubMed ID: 27754386
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.