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 *

184 related articles for article (PubMed ID: 35052145)

  • 1. Fusion Domain-Adaptation CNN Driven by Images and Vibration Signals for Fault Diagnosis of Gearbox Cross-Working Conditions.
    Mao G; Zhang Z; Qiao B; Li Y
    Entropy (Basel); 2022 Jan; 24(1):. PubMed ID: 35052145
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Generative Adversarial Learning Enhanced Fault Diagnosis for Planetary Gearbox under Varying Working Conditions.
    Wen W; Bai Y; Cheng W
    Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32197349
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Intelligent fault diagnosis of helical gearboxes with compressive sensing based non-contact measurements.
    Tang X; Xu Y; Sun X; Liu Y; Jia Y; Gu F; Ball AD
    ISA Trans; 2023 Feb; 133():559-574. PubMed ID: 35914963
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Gearbox Fault Diagnosis Method Based on Multidomain Information Fusion.
    Xie F; Wang G; Shang J; Liu H; Xiao Q; Xie S
    Sensors (Basel); 2023 May; 23(10):. PubMed ID: 37430835
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-mode fault diagnosis datasets of gearbox under variable working conditions.
    Chen S; Liu Z; He X; Zou D; Zhou D
    Data Brief; 2024 Jun; 54():110453. PubMed ID: 38711742
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multiscale Convolutional Neural Network Based on Channel Space Attention for Gearbox Compound Fault Diagnosis.
    Xu Q; Jiang H; Zhang X; Li J; Chen L
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112168
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development of Compound Fault Diagnosis System for Gearbox Based on Convolutional Neural Network.
    Lin MC; Han PY; Fan YH; Li CG
    Sensors (Basel); 2020 Oct; 20(21):. PubMed ID: 33138214
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. An Evaluation of Gearbox Condition Monitoring Using Infrared Thermal Images Applied with Convolutional Neural Networks.
    Li Y; Gu JX; Zhen D; Xu M; Ball A
    Sensors (Basel); 2019 May; 19(9):. PubMed ID: 31086051
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Subway Gearbox Fault Diagnosis Algorithm Based on Adaptive Spline Impact Suppression.
    Hu Z; Yang J; Yao D; Wang J; Bai Y
    Entropy (Basel); 2021 May; 23(6):. PubMed ID: 34070261
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning.
    Hasan MJ; Islam MMM; Kim JM
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009595
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Dynamic Condition Adversarial Adaptation for Fault Diagnosis of Wind Turbine Gearbox.
    Zhang H; Wang X; Zhang C; Li W; Wang J; Li G; Bai C
    Sensors (Basel); 2023 Nov; 23(23):. PubMed ID: 38067741
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fault detection for planetary gearbox based on an enhanced average filter and modulation signal bispectrum analysis.
    Guo J; Zhen D; Li H; Shi Z; Gu F; Ball AD
    ISA Trans; 2020 Jun; 101():408-420. PubMed ID: 32061355
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Learning Attention Representation with a Multi-Scale CNN for Gear Fault Diagnosis under Different Working Conditions.
    Yao Y; Zhang S; Yang S; Gui G
    Sensors (Basel); 2020 Feb; 20(4):. PubMed ID: 32102405
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Industrial gearbox fault diagnosis based on multi-scale convolutional neural networks and thermal imaging.
    Li Y; Du X; Wang X; Si S
    ISA Trans; 2022 Oct; 129(Pt B):309-320. PubMed ID: 35305817
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Research on fault diagnosis method of planetary gearbox based on dynamic simulation and deep transfer learning.
    Song MM; Xiong ZC; Zhong JH; Xiao SG; Tang YH
    Sci Rep; 2022 Oct; 12(1):17023. PubMed ID: 36220866
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.