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 *

168 related articles for article (PubMed ID: 33684044)

  • 1. Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing.
    Wang H; Liu Z; Peng D; Yang M; Qin Y
    IEEE Trans Neural Netw Learn Syst; 2022 Sep; 33(9):4757-4769. PubMed ID: 33684044
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Attention-guided joint learning CNN with noise robustness for bearing fault diagnosis and vibration signal denoising.
    Wang H; Liu Z; Peng D; Cheng Z
    ISA Trans; 2022 Sep; 128(Pt B):470-484. PubMed ID: 34961609
    [TBL] [Abstract][Full Text] [Related]  

  • 3. End-to-End Continuous/Discontinuous Feature Fusion Method with Attention for Rolling Bearing Fault Diagnosis.
    Zheng J; Liao J; Chen Z
    Sensors (Basel); 2022 Aug; 22(17):. PubMed ID: 36080947
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network.
    Li H; Huang J; Ji S
    Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31052295
    [TBL] [Abstract][Full Text] [Related]  

  • 5. WPD-Enhanced Deep Graph Contrastive Learning Data Fusion for Fault Diagnosis of Rolling Bearing.
    Liu R; Wang X; Kumar A; Sun B; Zhou Y
    Micromachines (Basel); 2023 Jul; 14(7):. PubMed ID: 37512779
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures.
    Xiong S; Zhou H; He S; Zhang L; Xia Q; Xuan J; Shi T
    Sensors (Basel); 2020 Sep; 20(17):. PubMed ID: 32887331
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification.
    Liu X; Lv L; Shen Y; Xiong P; Yang J; Liu J
    J Neural Eng; 2021 Feb; 18(2):. PubMed ID: 33395676
    [No Abstract]   [Full Text] [Related]  

  • 9. Application of a new one-dimensional deep convolutional neural network for intelligent fault diagnosis of rolling bearings.
    Xie S; Ren G; Zhu J
    Sci Prog; 2020; 103(3):36850420951394. PubMed ID: 32880535
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Novel Intelligent Fault Diagnosis Method for Rolling Bearings Based on Wasserstein Generative Adversarial Network and Convolutional Neural Network under Unbalanced Dataset.
    Tang H; Gao S; Wang L; Li X; Li B; Pang S
    Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34695966
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Intelligent fault diagnosis of rolling bearings under varying operating conditions based on domain-adversarial neural network and attention mechanism.
    Wu H; Li J; Zhang Q; Tao J; Meng Z
    ISA Trans; 2022 Nov; 130():477-489. PubMed ID: 35491253
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Learning Attention Representation with a Multi-Scale CNN for Gear Fault Diagnosis under Different Working Conditions.
    Yao Y; Zhang S; Yang S; Gui G
    Sensors (Basel); 2020 Feb; 20(4):. PubMed ID: 32102405
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Intelligent Defect Diagnosis of Rolling Element Bearings under Variable Operating Conditions Using Convolutional Neural Network and Order Maps.
    Tayyab SM; Chatterton S; Pennacchi P
    Sensors (Basel); 2022 Mar; 22(5):. PubMed ID: 35271173
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Enhanced Feature Extraction Network Based on Acoustic Signal Feature Learning for Bearing Fault Diagnosis.
    Luo Y; Lu W; Kang S; Tian X; Kang X; Sun F
    Sensors (Basel); 2023 Oct; 23(21):. PubMed ID: 37960402
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Convolutional Neural Network with Attention Mechanism and Visual Vibration Signal Analysis for Bearing Fault Diagnosis.
    Zhang Q; Wei X; Wang Y; Hou C
    Sensors (Basel); 2024 Mar; 24(6):. PubMed ID: 38544094
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions.
    Hasan MJ; Sohaib M; Kim JM
    Sensors (Basel); 2020 Dec; 20(24):. PubMed ID: 33339253
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.