BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

188 related articles for article (PubMed ID: 30544598)

  • 1. A Revised Hilbert⁻Huang Transform and Its Application to Fault Diagnosis in a Rotor System.
    Ji Y; Wang H
    Sensors (Basel); 2018 Dec; 18(12):. PubMed ID: 30544598
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A Novel Adaptive Signal Processing Method Based on Enhanced Empirical Wavelet Transform Technology.
    Zhao H; Zuo S; Hou M; Liu W; Yu L; Yang X; Deng W
    Sensors (Basel); 2018 Oct; 18(10):. PubMed ID: 30282951
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Method for Fault Diagnosis of Temperature-Related MEMS Inertial Sensors by Combining Hilbert-Huang Transform and Deep Learning.
    Gao T; Sheng W; Zhou M; Fang B; Luo F; Li J
    Sensors (Basel); 2020 Oct; 20(19):. PubMed ID: 33019773
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Mean-optimized mode decomposition: An improved EMD approach for non-stationary signal processing.
    Zheng J; Pan H
    ISA Trans; 2020 Nov; 106():392-401. PubMed ID: 32591253
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Motion Capture Data Analysis in the Instantaneous Frequency-Domain Using Hilbert-Huang Transform.
    Dong R; Cai D; Ikuno S
    Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33207544
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hilbert-Huang transform in detecting and analyzing the uterine contraction activities.
    Aydın K; Demirer M; Bayrak C
    J Turk Ger Gynecol Assoc; 2015; 16(4):195-202. PubMed ID: 26692768
    [TBL] [Abstract][Full Text] [Related]  

  • 10. SU-E-J-143: Characteristics of Tumor-Motion Surrogate Signals Analyzed Using Empirical Mode Decomposition and Hilbert-Huang Transformation.
    Han-Oh S
    Med Phys; 2012 Jun; 39(6Part8):3685. PubMed ID: 28518947
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Frequency Estimation Scheme Based on Gaussian Average Filtering Decomposition and Hilbert Transform: With Estimation of Respiratory Rate as an Example.
    Lin YD; Tan YK; Ku T; Tian B
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112125
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Novel Fault Detection Method for Rolling Bearings Based on Non-Stationary Vibration Signature Analysis.
    Zhen D; Guo J; Xu Y; Zhang H; Gu F
    Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31527448
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bi-spectrum based-EMD applied to the non-stationary vibration signals for bearing faults diagnosis.
    Saidi L; Ali JB; Fnaiech F
    ISA Trans; 2014 Sep; 53(5):1650-60. PubMed ID: 24975564
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Rotor Fault Diagnosis Based on Characteristic Frequency Band Energy Entropy and Support Vector Machine.
    Pang B; Tang G; Zhou C; Tian T
    Entropy (Basel); 2018 Dec; 20(12):. PubMed ID: 33266656
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models.
    Prosvirin AE; Islam M; Kim J; Kim JM
    Sensors (Basel); 2018 Jun; 18(7):. PubMed ID: 29949912
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Distinction between essential and physiological tremor using Hilbert-Huang transform.
    Ayache SS; Al-Ani T; Lefaucheur JP
    Neurophysiol Clin; 2014 Apr; 44(2):203-12. PubMed ID: 24930942
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Simultaneous-Fault Diagnosis of Gearboxes Using Probabilistic Committee Machine.
    Zhong JH; Wong PK; Yang ZX
    Sensors (Basel); 2016 Feb; 16(2):185. PubMed ID: 26848665
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Faults Diagnostics of Railway Axle Bearings Based on IMF's Confidence Index Algorithm for Ensemble EMD.
    Yi C; Lin J; Zhang W; Ding J
    Sensors (Basel); 2015 May; 15(5):10991-1011. PubMed ID: 25970256
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [An EMD based time-frequency distribution and its application in EEG analysis].
    Li X; Chu M; Qiu T; Bao H
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Oct; 24(5):990-5. PubMed ID: 18027682
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Time-trend analysis of the center frequency of the intrinsic mode function from the Hilbert-Huang transform of electroencephalography during general anesthesia: a retrospective observational study.
    Obata Y; Yamada T; Akiyama K; Sawa T
    BMC Anesthesiol; 2023 Apr; 23(1):125. PubMed ID: 37059989
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.