Results 41 to 50 of about 17,389 (226)
Pulse Signal Analysis Method Based on Improved HHT [PDF]
Jisuanji gongcheng, 2019 The traditional Hilbert-Huang Transform(HHT) has low accuracy in Empirical Mode Decomposition(EMD) when processing pulse signals,and there are mode mixing problems.In response to this problem,this paper proposes an improved HHT method.Combined with Time ...
KUANG Xue, LI Zhi, WANG Yongjun, ZHANG Shaorong
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Milling gate vibrations analysis via Hilbert-Huang transform
ITM Web of Conferences, 2017 The study aimed at identification of the milling gate modal parameters: natural frequencies and mode shapes, in order to establish the working range free from resonant areas.
Litak Grzegorz +2 more
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Nonlinear analysis of the electroencephalogram in depth of anesthesia
Revista Facultad de Ingeniería Universidad de Antioquia, 2015 Digital signal processing of the electroencephalogram (EEG) became important in monitoring depth of anesthesia (DoA) being used to provide a better anesthetic technique.
Oscar Leonardo Mosquera-Dusan +3 more
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Quantitative Identification of Pulse-Like Ground Motions Based on Hilbert–Huang Transform
Shock and Vibration, 2021 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 ...
Zhen Liu
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Analysis of partial discharge signal using the Hilbert-Huang Transform [PDF]
, 2006 The development of time-frequency and time-scale transforms has progressed rapidly over the last 20 years. The development and progression of numerical acquisition enable the utilization of these mathematical tools to analyze partial discharge in ...
Russo, Onofrio L. +6 more
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Characterization of non-linear bearings using the Hilbert–Huang transform
Advances in Mechanical Engineering, 2015 Changes in the performance of bearings can significantly vary the distribution of internal forces and moments in a structure as a result of environmental or operational loads.
Arturo González, Hussein Aied
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Advances in causal discovery methods for ecological time series
Biological Reviews, EarlyView.ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source
Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines
Energy Science &Engineering, EarlyView.A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
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Hilbert-Huang Transform in Fault Detection
Procedia Manufacturing, 2019 Abstract Failures of manufacturing systems represent a significant cost in both repairs and downtime. A considerable percentage of the maintenance cost is caused by unexpected drivetrain failures. This paper proposes a Hilbert-Huang transform (HHT)-based algorithm to effectively detect malfunctioning by revealing the instantaneous amplitude and ...
Zoltan German-Sallo, Horatiu Stefan Grif
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Fault Detection of Electric Motors via Symmetrized Dot Pattern‐Based Features
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT This study proposes a novel symmetrized dot pattern (SDP) approach using designed SDP‐based features, extracted from transformed vibration signals, for fault detection. These features describe the compactness, inclination, and shape of the “snowflake” diagram distributions.
Mario Spirto +6 more
wiley +1 more source