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 *

148 related articles for article (PubMed ID: 33454056)

  • 1. Instantaneous frequency estimation for wheelset bearings weak fault signals using second-order synchrosqueezing S-transform with optimally weighted sliding window.
    Lin R; Liu Z; Jin Y
    ISA Trans; 2021 Sep; 115():218-233. PubMed ID: 33454056
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A promising new tool for fault diagnosis of railway wheelset bearings: SSO-based Kurtogram.
    Yi C; Li Y; Huo X; Tsui KL
    ISA Trans; 2022 Sep; 128(Pt A):498-512. PubMed ID: 34593241
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improved Hilbert-Huang transform with soft sifting stopping criterion and its application to fault diagnosis of wheelset bearings.
    Liu Z; Peng D; Zuo MJ; Xia J; Qin Y
    ISA Trans; 2022 Jun; 125():426-444. PubMed ID: 34281714
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fault detection and analysis for wheelset bearings via improved explicit shift-invariant dictionary learning.
    Zhang Z; Wang P; Ding J
    ISA Trans; 2023 May; 136():468-482. PubMed ID: 36513543
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Sparse representation of parametric dictionary based on fault impact matching for wheelset bearing fault diagnosis.
    Deng F; Qiang Y; Yang S; Hao R; Liu Y
    ISA Trans; 2021 Apr; 110():368-378. PubMed ID: 33223191
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Hybrid SVD-Based Denoising and Self-Adaptive TMSST for High-Speed Train Axle Bearing Fault Detection.
    Deng F; Liu C; Liu Y; Hao R
    Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577232
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Novel Fault Diagnosis Scheme for Rolling Bearing Based on Convex Optimization in Synchroextracting Chirplet Transform.
    You G; Lv Y; Jiang Y; Yi C
    Sensors (Basel); 2020 May; 20(10):. PubMed ID: 32429156
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Novel Characteristic Frequency Bands Extraction Method for Automatic Bearing Fault Diagnosis Based on Hilbert Huang Transform.
    Yu X; Ding E; Chen C; Liu X; Li L
    Sensors (Basel); 2015 Nov; 15(11):27869-93. PubMed ID: 26540059
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Adaptive synchroextracting transform and its application in bearing fault diagnosis.
    Yan Z; Xu Y; Zhang K; Hu A; Yu G
    ISA Trans; 2023 Jun; 137():574-589. PubMed ID: 36639269
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Novel Method for Vibration Sensor-Based Instantaneous Defect Frequency Estimation for Rolling Bearings Under Non-Stationary Conditions.
    Zhao D; Gelman L; Chu F; Ball A
    Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32933089
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Wind Turbine Diagnosis under Variable Speed Conditions Using a Single Sensor Based on the Synchrosqueezing Transform Method.
    Guo Y; Chen X; Wang S; Sun R; Zhao Z
    Sensors (Basel); 2017 May; 17(5):. PubMed ID: 28524090
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Novel Fault Feature Recognition Method for Time-Varying Signals and Its Application to Planetary Gearbox Fault Diagnosis under Variable Speed Conditions.
    Lv Y; Pan B; Yi C; Ma Y
    Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31319628
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Synchrosqueezed Transform Method Based on Fast Kurtogram and Demodulation and Piecewise Aggregate Approximation for Bearing Fault Diagnosis.
    Chen Y; Hu L; Hu N; Zeng J
    Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676121
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An Improved Synchrosqueezing S-Transform and Its Application in a GPR Detection Task.
    Xiong H; An B; Sun B; Lu J
    Sensors (Basel); 2024 May; 24(10):. PubMed ID: 38793836
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A High-Precision Time-Frequency Entropy Based on Synchrosqueezing Generalized S-Transform Applied in Reservoir Detection.
    Chen H; Chen Y; Sun S; Hu Y; Feng J
    Entropy (Basel); 2018 Jun; 20(6):. PubMed ID: 33265518
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel threshold segmentation instantaneous frequency calculation approach for fault diagnosis.
    Liu ZB; Yuan Y; Yu L; Li YJ; Fei JY
    Math Biosci Eng; 2020 Aug; 17(5):5395-5413. PubMed ID: 33120558
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bearing Fault Detection Based on Empirical Wavelet Transform and Correlated Kurtosis by Acoustic Emission.
    Gao Z; Lin J; Wang X; Xu X
    Materials (Basel); 2017 May; 10(6):. PubMed ID: 28772929
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Early Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by Maximum Correlated Kurtosis Deconvolution.
    Jia F; Lei Y; Shan H; Lin J
    Sensors (Basel); 2015 Nov; 15(11):29363-77. PubMed ID: 26610501
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A high-resolution time-frequency analysis technique based on bi-directional squeezing and its application in fault diagnosis of rotating machinery.
    Ma Y; Yu G; Lin T; Sun M
    ISA Trans; 2024 Apr; 147():382-402. PubMed ID: 38365527
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.