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 *

175 related articles for article (PubMed ID: 32861480)

  • 1. Simultaneous fault diagnosis of wind turbine using multichannel convolutional neural networks.
    Zare S; Ayati M
    ISA Trans; 2021 Feb; 108():230-239. PubMed ID: 32861480
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Multiscale Spatio-Temporal Convolutional Deep Belief Network for Sensor Fault Detection of Wind Turbine.
    Wang H; Wang H; Jiang G; Wang Y; Ren S
    Sensors (Basel); 2020 Jun; 20(12):. PubMed ID: 32599907
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Vibration-Response-Only Structural Health Monitoring for Offshore Wind Turbine Jacket Foundations via Convolutional Neural Networks.
    Puruncajas B; Vidal Y; Tutivén C
    Sensors (Basel); 2020 Jun; 20(12):. PubMed ID: 32560533
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Probabilistic Bayesian Parallel Deep Learning Framework for Wind Turbine Bearing Fault Diagnosis.
    Meng L; Su Y; Kong X; Lan X; Li Y; Xu T; Ma J
    Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236741
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A deep capsule neural network with data augmentation generative adversarial networks for single and simultaneous fault diagnosis of wind turbine gearbox.
    Liang P; Deng C; Yuan X; Zhang L
    ISA Trans; 2023 Apr; 135():462-475. PubMed ID: 37032568
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A combined mono- and multi-turbine approach for fault indicator synthesis and wind turbine monitoring using SCADA data.
    Lebranchu A; Charbonnier S; Bérenguer C; Prévost F
    ISA Trans; 2019 Apr; 87():272-281. PubMed ID: 30545768
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Intelligent fault detection scheme for constant-speed wind turbines based on improved multiscale fuzzy entropy and adaptive chaotic Aquila optimization-based support vector machine.
    Wang Z; Li G; Yao L; Cai Y; Lin T; Zhang J; Dong H
    ISA Trans; 2023 Jul; 138():582-602. PubMed ID: 36966057
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fault Diagnosis of Wind Turbine Gearbox Based on the Optimized LSTM Neural Network with Cosine Loss.
    Yin A; Yan Y; Zhang Z; Li C; Sánchez RV
    Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32325985
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development of a low cost test rig for standalone WECS subject to electrical faults.
    Himani ; Dahiya R
    ISA Trans; 2016 Nov; 65():537-546. PubMed ID: 27665145
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Application of Reinforcement Learning Algorithm Model in Gas Path Fault Intelligent Diagnosis of Gas Turbine.
    Luo Y
    Comput Intell Neurosci; 2021; 2021():3897077. PubMed ID: 34580586
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Fault diagnosis and prediction of wind turbine gearbox based on a new hybrid model.
    Wang H; Zhao X; Wang W
    Environ Sci Pollut Res Int; 2023 Feb; 30(9):24506-24520. PubMed ID: 36344885
    [TBL] [Abstract][Full Text] [Related]  

  • 12. FDI based on Artificial Neural Network for Low-Voltage-Ride-Through in DFIG-based Wind Turbine.
    Adouni A; Chariag D; Diallo D; Ben Hamed M; Sbita L
    ISA Trans; 2016 Sep; 64():353-364. PubMed ID: 27264156
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Joint High-Order Synchrosqueezing Transform and Multi-Taper Empirical Wavelet Transform for Fault Diagnosis of Wind Turbine Planetary Gearbox under Nonstationary Conditions.
    Hu Y; Tu X; Li F; Meng G
    Sensors (Basel); 2018 Jan; 18(1):. PubMed ID: 29316668
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Nonintrusive wind blade fault detection using a deep learning approach by exploring acoustic information.
    Liu H; Zhu W; Zhou Y; Shi L; Gan L
    J Acoust Soc Am; 2023 Jan; 153(1):538. PubMed ID: 36732261
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Vibration Analysis for Fault Detection of Wind Turbine Drivetrains-A Comprehensive Investigation.
    Teng W; Ding X; Tang S; Xu J; Shi B; Liu Y
    Sensors (Basel); 2021 Mar; 21(5):. PubMed ID: 33804512
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Compound Fault Diagnosis of a Wind Turbine Gearbox Based on MOMEDA and Parallel Parameter Optimized Resonant Sparse Decomposition.
    Feng Y; Zhang X; Jiang H; Li J
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298372
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Research on Extraction of Compound Fault Characteristics for Rolling Bearings in Wind Turbines.
    Xiang L; Su H; Li Y
    Entropy (Basel); 2020 Jun; 22(6):. PubMed ID: 33286455
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. An adaptive fractional stochastic resonance method based on weighted correctional signal-to-noise ratio and its application in fault feature enhancement of wind turbine.
    Zeng X; Lu X; Liu Z; Jin Y
    ISA Trans; 2022 Jan; 120():18-32. PubMed ID: 33766454
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Application of Generalized Composite Multiscale Lempel-Ziv Complexity in Identifying Wind Turbine Gearbox Faults.
    Yan X; She D; Xu Y; Jia M
    Entropy (Basel); 2021 Oct; 23(11):. PubMed ID: 34828071
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.