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 *

133 related articles for article (PubMed ID: 34857354)

  • 1. Novel variation mode decomposition integrated adaptive sparse principal component analysis and it application in fault diagnosis.
    Geng Z; Duan X; Han Y; Liu F; Xu W
    ISA Trans; 2022 Sep; 128(Pt B):21-31. PubMed ID: 34857354
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An adaptive group sparse feature decomposition method in frequency domain for rolling bearing fault diagnosis.
    Zheng K; Yao D; Shi Y; Wei B; Yang D; Zhang B
    ISA Trans; 2023 Jul; 138():562-581. PubMed ID: 36863953
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Swarm intelligence based deep learning model via improved whale optimization algorithm and Bi-directional long short-term memory for fault diagnosis of chemical processes.
    Ji C; Zhang C; Suo L; Liu Q; Peng T
    ISA Trans; 2024 Apr; 147():227-238. PubMed ID: 38443273
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis.
    Deng X; Tian X; Chen S; Harris CJ
    IEEE Trans Neural Netw Learn Syst; 2018 Mar; 29(3):560-572. PubMed ID: 28026785
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An intelligent moving window sparse principal component analysis-based case based reasoning for fault diagnosis: Case of the drilling process.
    Han Y; Liu J; Liu F; Geng Z
    ISA Trans; 2022 Sep; 128(Pt A):242-254. PubMed ID: 34629158
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Resonance-based sparse adaptive variational mode decomposition and its application to the feature extraction of planetary gearboxes.
    Zhu J; Deng A; Li J; Deng M; Sun W; Cheng Q; Liu Y
    PLoS One; 2020; 15(4):e0231540. PubMed ID: 32282856
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrated Diagnostic Framework for Process and Sensor Faults in Chemical Industry.
    Zhang J; Luo W; Dai Y
    Sensors (Basel); 2021 Jan; 21(3):. PubMed ID: 33530519
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Fast Sparse Decomposition Based on the Teager Energy Operator in Extraction of Weak Fault Signals.
    Yan B; Li Z; Zhou F; Lv X; Zhou F
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298330
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An Improved Adaptive IVMD-WPT-Based Noise Reduction Algorithm on GPS Height Time Series.
    Xu H; Lu T; Montillet JP; He X
    Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960391
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fault Diagnosis of a Wind Turbine Gearbox Based on Improved Variational Mode Algorithm and Information Entropy.
    Zhang F; Sun W; Wang H; Xu T
    Entropy (Basel); 2021 Jun; 23(7):. PubMed ID: 34201463
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis.
    Cheng Y; Wang Z; Chen B; Zhang W; Huang G
    ISA Trans; 2019 Aug; 91():218-234. PubMed ID: 30738582
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Nonlinear Support Vector Machine-Based Feature Selection Approach for Fault Detection and Diagnosis: Application to the Tennessee Eastman Process.
    Onel M; Kieslich CA; Pistikopoulos EN
    AIChE J; 2019 Mar; 65(3):992-1005. PubMed ID: 32377021
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Sparse and low-rank decomposition of the time-frequency representation for bearing fault diagnosis under variable speed conditions.
    Wang R; Fang H; Yu L; Yu L; Chen J
    ISA Trans; 2022 Sep; 128(Pt B):579-598. PubMed ID: 34952690
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Application of composite dictionary multi-atom matching in gear fault diagnosis.
    Cui L; Kang C; Wang H; Chen P
    Sensors (Basel); 2011; 11(6):5981-6002. PubMed ID: 22163938
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bearing Fault-Detection Method Based on Improved Grey Wolf Algorithm to Optimize Parameters of Multistable Stochastic Resonance.
    Huang W; Zhang G
    Sensors (Basel); 2023 Jul; 23(14):. PubMed ID: 37514823
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Compound fault extraction method via self-adaptively determining the number of decomposition layers of the variational mode decomposition.
    Zhang Z; Zhang X; Zhang P; Wu F; Li X
    Rev Sci Instrum; 2018 Aug; 89(8):085110. PubMed ID: 30184705
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A New Method Based on Time-Varying Filtering Intrinsic Time-Scale Decomposition and General Refined Composite Multiscale Sample Entropy for Rolling-Bearing Feature Extraction.
    Ma J; Han S; Li C; Zhan L; Zhang GZ
    Entropy (Basel); 2021 Apr; 23(4):. PubMed ID: 33920417
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Optimized Adaptive Local Iterative Filtering Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis.
    Lv Y; Zhang Y; Yi C
    Entropy (Basel); 2018 Dec; 20(12):. PubMed ID: 33266644
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Research on Fault Diagnosis of Rolling Bearings Based on Variational Mode Decomposition Improved by the Niche Genetic Algorithm.
    Shi R; Wang B; Wang Z; Liu J; Feng X; Dong L
    Entropy (Basel); 2022 Jun; 24(6):. PubMed ID: 35741545
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.