BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

620 related articles for article (PubMed ID: 30823579)

  • 1. Fault Diagnosis of Rotating Machinery under Noisy Environment Conditions Based on a 1-D Convolutional Autoencoder and 1-D Convolutional Neural Network.
    Liu X; Zhou Q; Zhao J; Shen H; Xiong X
    Sensors (Basel); 2019 Feb; 19(4):. PubMed ID: 30823579
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals.
    Zhang W; Peng G; Li C; Chen Y; Zhang Z
    Sensors (Basel); 2017 Feb; 17(2):. PubMed ID: 28241451
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An Intelligent Fault Diagnosis Method for Bearings with Variable Rotating Speed Based on Pythagorean Spatial Pyramid Pooling CNN.
    Guo S; Yang T; Gao W; Zhang C; Zhang Y
    Sensors (Basel); 2018 Nov; 18(11):. PubMed ID: 30424001
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. A fault diagnosis scheme for rotating machinery using hierarchical symbolic analysis and convolutional neural network.
    Yang Y; Zheng H; Li Y; Xu M; Chen Y
    ISA Trans; 2019 Aug; 91():235-252. PubMed ID: 30770156
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Intelligent Fault Diagnosis of Rotary Machinery by Convolutional Neural Network with Automatic Hyper-Parameters Tuning Using Bayesian Optimization.
    Kolar D; Lisjak D; Pająk M; Gudlin M
    Sensors (Basel); 2021 Mar; 21(7):. PubMed ID: 33807427
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network.
    Guo S; Yang T; Gao W; Zhang C
    Sensors (Basel); 2018 May; 18(5):. PubMed ID: 29734704
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Intelligent Fault Diagnosis of Rolling Element Bearings Based on Modified AlexNet.
    Mohiuddin M; Islam MS; Islam S; Miah MS; Niu MB
    Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765819
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Intelligent Detection of a Planetary Gearbox Composite Fault Based on Adaptive Separation and Deep Learning.
    Sun GD; Wang YR; Sun CF; Jin Q
    Sensors (Basel); 2019 Nov; 19(23):. PubMed ID: 31795113
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples.
    Yang D; Karimi HR; Sun K
    Neural Netw; 2021 Sep; 141():133-144. PubMed ID: 33901878
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Novel Anti-Noise Fault Diagnosis Approach for Rolling Bearings Based on Convolutional Neural Network Fusing Frequency Domain Feature Matching Algorithm.
    Zhou X; Mao S; Li M
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450970
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep residual learning-based fault diagnosis method for rotating machinery.
    Zhang W; Li X; Ding Q
    ISA Trans; 2019 Dec; 95():295-305. PubMed ID: 30598323
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fault Diagnosis of Rotary Machines Using Deep Convolutional Neural Network with Wide Three Axis Vibration Signal Input.
    Kolar D; Lisjak D; Pająk M; Pavković D
    Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32707716
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Novel Method for Identifying Crack and Shaft Misalignment Faults in Rotor Systems under Noisy Environments Based on CNN.
    Zhao W; Hua C; Dong D; Ouyang H
    Sensors (Basel); 2019 Nov; 19(23):. PubMed ID: 31775317
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Construction of a Sensitive and Speed Invariant Gearbox Fault Diagnosis Model Using an Incorporated Utilizing Adaptive Noise Control and a Stacked Sparse Autoencoder-Based Deep Neural Network.
    Nguyen CD; Prosvirin AE; Kim CH; Kim JM
    Sensors (Basel); 2020 Dec; 21(1):. PubMed ID: 33375085
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bearing Fault Diagnosis via Improved One-Dimensional Multi-Scale Dilated CNN.
    He J; Wu P; Tong Y; Zhang X; Lei M; Gao J
    Sensors (Basel); 2021 Nov; 21(21):. PubMed ID: 34770636
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Gearbox Compound Fault Diagnosis in Edge-IoT Based on Legendre Multiwavelet Transform and Convolutional Neural Network.
    Zheng X; Chen L; Yu C; Lei Z; Feng Z; Wei Z
    Sensors (Basel); 2023 Oct; 23(21):. PubMed ID: 37960369
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 31.