BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 38061925)

  • 1. Fault anomaly detection method of aero-engine rolling bearing based on distillation learning.
    Kang Y; Chen G; Wang H; Sheng J; Wei X
    ISA Trans; 2024 Feb; 145():387-398. PubMed ID: 38061925
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. A Novel Fault Diagnosis Method of Rolling Bearing Based on Integrated Vision Transformer Model.
    Tang X; Xu Z; Wang Z
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632289
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Rolling Bearing Fault Detection System and Experiment Based on Deep Learning.
    Zhang B
    Comput Intell Neurosci; 2022; 2022():8913859. PubMed ID: 36203721
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Research on Rolling Bearing Fault Diagnosis Based on Digital Twin Data and Improved ConvNext.
    Zhang C; Qin F; Zhao W; Li J; Liu T
    Sensors (Basel); 2023 Jun; 23(11):. PubMed ID: 37300061
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. A new dynamic model and transfer learning based intelligent fault diagnosis framework for rolling element bearings race faults: Solving the small sample problem.
    Dong Y; Li Y; Zheng H; Wang R; Xu M
    ISA Trans; 2022 Feb; 121():327-348. PubMed ID: 33962795
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 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. 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]  

  • 13. Bearing Fault Diagnosis of Hot-Rolling Mill Utilizing Intelligent Optimized Self-Adaptive Deep Belief Network with Limited Samples.
    Peng R; Zhang X; Shi P
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298167
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Deep Learning Method for Bearing Cross-Domain Fault Diagnostics Based on the Standard Envelope Spectrum.
    Zhai L; Wang X; Si Z; Wang Z
    Sensors (Basel); 2024 May; 24(11):. PubMed ID: 38894292
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fault Diagnosis of Rolling Bearing Based on a Priority Elimination Method.
    Xiang C; Zhou J; Han B; Li W; Zhao H
    Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850916
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings.
    Kou L; Chen J; Qin Y; Mao W
    Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35957238
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Rolling bearing fault diagnosis based on SSA optimized self-adaptive DBN.
    Gao S; Xu L; Zhang Y; Pei Z
    ISA Trans; 2022 Sep; 128(Pt B):485-502. PubMed ID: 35177261
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. A Novel Hybrid Technique Combining Improved Cepstrum Pre-Whitening and High-Pass Filtering for Effective Bearing Fault Diagnosis Using Vibration Data.
    Kiakojouri A; Lu Z; Mirring P; Powrie H; Wang L
    Sensors (Basel); 2023 Nov; 23(22):. PubMed ID: 38005435
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.