BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

432 related articles for article (PubMed ID: 37512779)

  • 1. 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]  

  • 2. 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]  

  • 3. Intelligent Compound Fault Diagnosis of Roller Bearings Based on Deep Graph Convolutional Network.
    Chen C; Yuan Y; Zhao F
    Sensors (Basel); 2023 Oct; 23(20):. PubMed ID: 37896583
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Rolling bearing fault diagnosis using adaptive deep belief network with dual-tree complex wavelet packet.
    Shao H; Jiang H; Wang F; Wang Y
    ISA Trans; 2017 Jul; 69():187-201. PubMed ID: 28502383
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Fault Diagnosis of Rolling Bearings Is Conducted by Employing a Dual-Branch Convolutional Capsule Neural Network.
    Lu W; Liu J; Lin F
    Sensors (Basel); 2024 May; 24(11):. PubMed ID: 38894172
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fault Diagnosis Method for Rolling Mill Multi Row Bearings Based on AMVMD-MC1DCNN under Unbalanced Dataset.
    Zhao C; Sun J; Lin S; Peng Y
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450936
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A New Dual-Input Deep Anomaly Detection Method for Early Faults Warning of Rolling Bearings.
    Kang Y; Chen G; Wang H; Pan W; Wei X
    Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37766068
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Intelligent Rolling Bearing Fault Diagnosis Method Using Symmetrized Dot Pattern Images and CBAM-DRN.
    Cui W; Meng G; Gou T; Wang A; Xiao R; Zhang X
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560323
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Wavelet Packet Decomposition-Based Multiscale CNN for Fault Diagnosis of Wind Turbine Gearbox.
    Huang D; Zhang WA; Guo F; Liu W; Shi X
    IEEE Trans Cybern; 2023 Jan; 53(1):443-453. PubMed ID: 34767518
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Visibility Graph Feature Model of Vibration Signals: A Novel Bearing Fault Diagnosis Approach.
    Zhang Z; Qin Y; Jia L; Chen X
    Materials (Basel); 2018 Nov; 11(11):. PubMed ID: 30428560
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Fault Diagnosis for Rolling Bearings Based on Fine-Sorted Dispersion Entropy and SVM Optimized with Mutation SCA-PSO.
    Fu W; Tan J; Xu Y; Wang K; Chen T
    Entropy (Basel); 2019 Apr; 21(4):. PubMed ID: 33267118
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. A Sound and Vibration Fusion Method for Fault Diagnosis of Rolling Bearings under Speed-Varying Conditions.
    Wan H; Gu X; Yang S; Fu Y
    Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991841
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Cross-domain fault diagnosis method for rolling bearings based on contrastive universal domain adaptation.
    Kang S; Tang X; Wang Y; Wang Q; Xie J
    ISA Trans; 2024 Mar; 146():195-207. PubMed ID: 38155035
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Negentropy Spectrum Decomposition and Its Application in Compound Fault Diagnosis of Rolling Bearing.
    Xu Y; Chen J; Ma C; Zhang K; Cao J
    Entropy (Basel); 2019 May; 21(5):. PubMed ID: 33267203
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fault Diagnosis of Rolling Bearings Based on a Residual Dilated Pyramid Network and Full Convolutional Denoising Autoencoder.
    Shi H; Chen J; Si J; Zheng C
    Sensors (Basel); 2020 Oct; 20(20):. PubMed ID: 33050210
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Supervised Manifold Learning Based on Multi-Feature Information Discriminative Fusion within an Adaptive Nearest Neighbor Strategy Applied to Rolling Bearing Fault Diagnosis.
    Wang H; Yao L; Wang H; Liu Y; Li Z; Wang D; Hu R; Tao L
    Sensors (Basel); 2023 Dec; 23(24):. PubMed ID: 38139669
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Vibration sensor-based bearing fault diagnosis using ellipsoid-ARTMAP and differential evolution algorithms.
    Liu C; Wang G; Xie Q; Zhang Y
    Sensors (Basel); 2014 Jun; 14(6):10598-618. PubMed ID: 24936949
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.