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 *

114 related articles for article (PubMed ID: 36941284)

  • 1. A novel intelligent bearing fault diagnosis method based on signal process and multi-kernel joint distribution adaptation.
    Xiong J; Cui S; Tang H
    Sci Rep; 2023 Mar; 13(1):4535. PubMed ID: 36941284
    [TBL] [Abstract][Full Text] [Related]  

  • 2. One-Dimensional Multi-Scale Domain Adaptive Network for Bearing-Fault Diagnosis under Varying Working Conditions.
    Wang K; Zhao W; Xu A; Zeng P; Yang S
    Sensors (Basel); 2020 Oct; 20(21):. PubMed ID: 33114173
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Triplet Loss Guided Adversarial Domain Adaptation for Bearing Fault Diagnosis.
    Wang X; Liu F
    Sensors (Basel); 2020 Jan; 20(1):. PubMed ID: 31935949
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep Transfer Network with Multi-Space Dynamic Distribution Adaptation for Bearing Fault Diagnosis.
    Zheng X; Gu Z; Liu C; Jiang J; He Z; Gao M
    Entropy (Basel); 2022 Aug; 24(8):. PubMed ID: 36010786
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Novel Joint Adversarial Domain Adaptation Method for Rotary Machine Fault Diagnosis under Different Working Conditions.
    Zhao X; Shao F; Zhang Y
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433602
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Cross-Machine Fault Diagnosis with Semi-Supervised Discriminative Adversarial Domain Adaptation.
    Wang X; Liu F; Zhao D
    Sensors (Basel); 2020 Jul; 20(13):. PubMed ID: 32635540
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep Joint Distribution Alignment: A Novel Enhanced-Domain Adaptation Mechanism for Fault Transfer Diagnosis.
    Qin Y; Qian Q; Luo J; Pu H
    IEEE Trans Cybern; 2023 May; 53(5):3128-3138. PubMed ID: 35417368
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application.
    Han T; Liu C; Yang W; Jiang D
    ISA Trans; 2020 Feb; 97():269-281. PubMed ID: 31420125
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Novel Domain Adaptation-Based Intelligent Fault Diagnosis Model to Handle Sample Class Imbalanced Problem.
    Zhang Z; Shao M; Wang L; Shao S; Ma C
    Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34066271
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Pre-Processing Method to Improve Cross-Domain Fault Diagnosis for Bearing.
    Kim T; Chai J
    Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372204
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Domain Adaptation With Self-Supervised Learning and Feature Clustering for Intelligent Fault Diagnosis.
    Lu N; Xiao H; Ma Z; Yan T; Han M
    IEEE Trans Neural Netw Learn Syst; 2024 Jun; 35(6):7657-7670. PubMed ID: 36378787
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-Scale Capsule Attention Network and Joint Distributed Optimal Transport for Bearing Fault Diagnosis under Different Working Loads.
    Sun Z; Yuan X; Fu X; Zhou F; Zhang C
    Sensors (Basel); 2021 Oct; 21(19):. PubMed ID: 34641016
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A diagnosis framework based on domain adaptation for bearing fault diagnosis across diverse domains.
    Ma P; Zhang H; Fan W; Wang C
    ISA Trans; 2020 Apr; 99():465-478. PubMed ID: 31515093
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Domain-Adaptive Prototype-Recalibrated Network with Transductive Learning Paradigm for Intelligent Fault Diagnosis under Various Limited Data Conditions.
    Kuang J; Tao T; Wu Q; Han C; Wei F; Chen S; Zhou W; Yan C; Xu G
    Sensors (Basel); 2022 Aug; 22(17):. PubMed ID: 36080992
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Rolling Bearing Incipient Fault Diagnosis Method Based on Improved Transfer Learning with Hybrid Feature Extraction.
    Yang Z; Yang R; Huang M
    Sensors (Basel); 2021 Nov; 21(23):. PubMed ID: 34883892
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An Intelligent Machinery Fault Diagnosis Method Based on GAN and Transfer Learning under Variable Working Conditions.
    He W; Chen J; Zhou Y; Liu X; Chen B; Guo B
    Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501876
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis.
    Tian J; Han D; Karimi HR; Zhang Y; Shi P
    Neural Netw; 2023 May; 162():69-82. PubMed ID: 36889058
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Unsupervised domain adaptation of bearing fault diagnosis based on Join Sliced Wasserstein Distance.
    Chen P; Zhao R; He T; Wei K; Yang Q
    ISA Trans; 2022 Oct; 129(Pt A):504-519. PubMed ID: 35039152
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A New Deep Dual Temporal Domain Adaptation Method for Online Detection of Bearings Early Fault.
    Mao W; Sun B; Wang L
    Entropy (Basel); 2021 Jan; 23(2):. PubMed ID: 33572849
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Globally Localized Multisource Domain Adaptation for Cross-Domain Fault Diagnosis With Category Shift.
    Feng Y; Chen J; He S; Pan T; Zhou Z
    IEEE Trans Neural Netw Learn Syst; 2023 Jun; 34(6):3082-3096. PubMed ID: 34546930
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.