Showing 1 - 20 results of 21 for search '"Hilbert–Huang transform"', query time: 0.08s Refine Results
  1. 1

    Quantitative Identification of Pulse-Like Ground Motions Based on Hilbert–Huang Transform by Zhen Liu

    Published 2021-01-01
    “…Aiming to address the problem of pulse-like ground motions being difficult to identify, this paper refines the Baker’s wavelet-based pulse-like ground motions identification method, followed by a new pulse-like ground motion identification method based on Hilbert–Huang Transform (HHT) being proposed. In this method, HHT is used to decompose ground motions instead of wavelet. …”
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  2. 2

    Ground Motion and Site Characteristics Evaluation Using Hilbert-Huang Transform Method Based on Light-Moderate Earthquakes by Jinchang Chen, Lanmin Wang, Ailan Che, Hanxu Zhou

    Published 2022-01-01
    “…We chose two light-moderate earthquakes in China as study cases. Based on Hilbert-Huang transform, we analyzed the ground motion characteristics in time-frequency domain. …”
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    Gear Fault Detection Based on Teager-Huang Transform by Hui Li, Haiqi Zheng, Liwei Tang

    Published 2010-01-01
    “…The experimental results provide effective evidence that Teager-Huang transform has better resolution than that of Hilbert-Huang transform. The Teager-Huang transform can effectively diagnose the fault of the gear, thus providing a viable processing tool for gearbox defect detection and diagnosis.…”
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  7. 7

    Adaptive Semiactive Cable Vibration Control: A Frequency Domain Perspective by Z. H. Chen, Y. Q. Ni

    Published 2017-01-01
    “…Frequency shaping is introduced via the frequency dependent weights in the cost function to address the control effectiveness and robustness. The Hilbert-Huang transform (HHT) technique is further synthesized for online tuning of the controller gain adaptively to track the cable vibration evolution, which also obviates the iterative optimal gain selection for the trade-off between control performance and energy in the conventional time domain LQG (T-LQG) control. …”
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    Article
  8. 8

    Research on Wheel-Rail Local Impact Identification Based on Axle Box Acceleration by Yuanjin Ji, Junwei Zeng, Wenjing Sun

    Published 2022-01-01
    “…This study applied the Hilbert–Huang transform (HHT) to analyze abnormal vibration of the tramcar, aiming to overcome the limitations of some traditional time-frequency analysis methods, such as Fourier transform, in dealing with nonstationary and nonlinear signals. …”
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  9. 9

    A System Identification-Based Damage-Detection Method for Gravity Dams by Masoud Mirtaheri, Mojtaba Salkhordeh, Masoud Mohammadgholiha

    Published 2021-01-01
    “…Then, a combined method based on Hilbert–Huang Transform (HHT) and Wavelet Transform (WT) is presented to obtain the dynamic properties of the structure. …”
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  10. 10

    Vibration Characteristics of Underground Structure and Surrounding Soil Underneath High Speed Railway Based on Field Vibration Tests by Biao Zhou, Fengshou Zhang, Xiongyao Xie

    Published 2018-01-01
    “…The combined NExT (Natural Excitation Technique) and HHT (Hilbert–Huang Transform) method are thus used to study the waveforms and propagation velocities of vibration waves in underground structure and surrounding soil. …”
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    Article
  11. 11

    Simulation and Test Study of Blast Crater in Deep Ore Body of Metal Mine Based on Lsdyna by Erhu Dong, Long An, Yuanhui Li, Jiahua Zhang

    Published 2024-01-01
    “…Finally, the difference in HHT (Hilbert–Huang Transform) analysis results between the vibration signals of the surrounding rock body in simulation and test is clarified. …”
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    Article
  12. 12

    Ship Radiated Noise Recognition Using Resonance-Based Sparse Signal Decomposition by Jiaquan Yan, Haixin Sun, En Cheng, Xiaoyan Kuai, Xiaoliang Zhang

    Published 2017-01-01
    “…Second, HMS of high resonance component is extracted by Hilbert-Huang transform (HHT) as the feature vector. Finally, support vector machine (SVM) is adopted as a classifier. …”
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    Article
  13. 13

    An Experiment Monitoring Signals of Coal Bed Simulation under Forced Vibration Conditions by Chengwu Li, Po Hu, Tianbao Gao, Yingfeng Sun, Shengyang Shao, Qifei Wang

    Published 2015-01-01
    “…Then shock excitation frequency and shock excitation acceleration influence on microseism signals were analyzed by Hilbert-Huang transform. By receiving these signals and analyzing their characteristics, it is beneficial to develop new methods to predict disasters underground dynamically in the future.…”
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    Article
  14. 14

    Exploration of Use of Copulas in Analysing the Relationship between Precipitation and Meteorological Drought in Beijing, China by Linlin Fan, Hongrui Wang, Cheng Wang, Wenli Lai, Yong Zhao

    Published 2017-01-01
    “…The trends and variations in the SPEI were analysed using Hilbert-Huang Transform (HHT) and Mann-Kendall (MK) trend tests with a running approach. …”
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  15. 15

    Vibration Characteristics Analysis of Composite Double-Layer Explosive Vessel Shell Subjected to Explosion Loading by Quan Wang, Jie Gong, Zhimin Li, Shanghao Liu, Chi-Min Shu, Yangfan Cheng, Xuejiao Li

    Published 2018-01-01
    “…Then, the effective vibration velocity curve can be obtained by fitting polynomials to eliminate the acceleration integral trend. Thereafter, Hilbert-Huang Transform (HHT) was applied to analyze the time-frequency distribution of vibration velocity signals. …”
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  16. 16

    Blasting Vibration Generated by Breaking-Blasting Large Barriers with EBBLB by Wang Zhen-xiong, Gu Wen-bin, Liang Ting, Liu Jian-qing, Xu Jing-lin, Liu Xin

    Published 2016-01-01
    “…And the research decomposes vibrating signals in vertical direction of different distances from blasting center with Hilbert-Huang Transform (HHT), extracting information of empirical mode components of blasting vibration signals; thus vibrating signals are contracted by spectrum information and energy information, three-dimensional energy, and energy attenuation of vibration with different distances from blasting center. …”
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    Article
  17. 17

    Experimental Study on Stress Evolution and Microseismic Signals under Vibration Conditions of Coal during Excavation and Subsequent Waiting Time by Qifei Wang, Chengwu Li, Pingyang Lyu, Yuechao Zhao, Dihao Ai, Beijing Xie

    Published 2019-01-01
    “…During the excavation and subsequent waiting time, the stress in coal is redistributed, and the concentrated stress is gradually transferred to the deeper section of the coal seam. The Hilbert–Huang transform (HHT) is used to effectively denoise the collected signals. …”
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    Article
  18. 18

    A Novel Telerehabilitation System for Physical Exercise Monitoring in Elderly Healthcare by Muhammad Abrar Ashraf, Shaheryar Najam, Touseef Sadiq, Shabbab Algamdi, Hanan Aljuaid, Hameedur Rahman, Ahmad Jalal

    Published 2025-01-01
    “…Advanced feature extraction techniques, including Synchrosqueezing Transform (SST) and Hilbert-Huang Transform (HHT), are employed to capture dynamic time-frequency characteristics of human actions. …”
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  19. 19

    Propagation Laws of Blasting Seismic Waves in Weak Rock Mass: A Case Study of Muzhailing Tunnel by Lijun Chen, Jianxun Chen, Yanbin Luo, Yalong Guo, Yongjun Mu, Daochuan Zhong, Weiwei Liu, Tielun Yang, Weixiang Chen

    Published 2020-01-01
    “…In order to study the propagation laws of blasting vibration waves in weak rock tunnels, the longitudinal and circumferential blasting vibration tests in Muzhailing Tunnel were carried out, and the measured data were analyzed and studied using the methods of Sadov’s nonlinear regression, Fourier transform, and Hilbert–Huang transform (HHT) to provide a reference for the optimization of blasting design of Muzhailing Tunnel or similar weak rock tunnels. …”
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  20. 20

    Algorithms and Results of Eye Tissues Differentiation Based on RF Ultrasound by R. Jurkonis, A. Janušauskas, V. Marozas, D. Jegelevičius, S. Daukantas, M. Patašius, A. Paunksnis, A. Lukoševičius

    Published 2012-01-01
    “…The algorithms process raw ultrasonic signals in backscattered spectrum domain, which is obtained using two time-frequency methods: short-time Fourier and Hilbert-Huang transformations. The signals from selected regions of eye tissues are characterized by parameters: B-scan envelope amplitude, approximated spectral slope, approximated spectral intercept, mean instantaneous frequency, mean instantaneous bandwidth, and parameters of Nakagami distribution characterizing Hilbert-Huang transformation output. …”
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