BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

119 related articles for article (PubMed ID: 37628263)

  • 1. Fault Diagnosis of Rolling Bearings in Primary Mine Fans under Sample Imbalance Conditions.
    Cui W; Ding J; Meng G; Lv Z; Feng Y; Wang A; Wan X
    Entropy (Basel); 2023 Aug; 25(8):. PubMed ID: 37628263
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. Fault Diagnosis for Rolling Bearings under Variable Conditions Based on Visual Cognition.
    Cheng Y; Zhou B; Lu C; Yang C
    Materials (Basel); 2017 May; 10(6):. PubMed ID: 28772943
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. A Rolling Bearing Fault Diagnosis Based on Conditional Depth Convolution Countermeasure Generation Networks under Small Samples.
    Peng C; Zhang S; Li C
    Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35957215
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Ensemble Capsule Network with an Attention Mechanism for the Fault Diagnosis of Bearings from Imbalanced Data Samples.
    Xu Z; Lee CKM; Lv Y; Chan J
    Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35898042
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Application of Teager-Kaiser Energy Operator in the Early Fault Diagnosis of Rolling Bearings.
    Shi X; Zhang Z; Xia Z; Li B; Gu X; Shi T
    Sensors (Basel); 2022 Sep; 22(17):. PubMed ID: 36081131
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.