Results 81 to 90 of about 36,269 (184)

Advanced Feature Analysis of Eddy Current Testing Signals for Rail Surface Defect Characterization

IEEE Access
The maintenance of the railways is of paramount importance for safe and reliable transport. Eddy Current Testing (ECT) provides high-resolution time-series signals that capture subtle anomalies on the rail surface. This paper expands on previous analyses
Michele Quercio, Luca Santoro, Raffaella Sesana, Francesco Riganti Fulginei   +3 more
doaj   +1 more source

The application of Hilbert–Huang transform energy spectrum in brushless direct current motor vibration signals monitoring of unmanned aerial vehicle

Advances in Mechanical Engineering, 2016
Due to the characteristics of structure, brushless direct current motor has a long lifetime, which makes it more difficult to obtain failure data. Accordingly, valid degeneration characteristics are required in life prediction.
Wenhui Fan, Xiaohong Wang, Lizhi Wang, Zhan Yu   +3 more
doaj   +1 more source

Comparative analysis of series fault arc detection methods

Gong-kuang zidonghua, 2017
For uncertainty of line fault location, current series fault arc detection methods are mainly based on current signal analysis. By comparing current waveforms before and after series arc fault under different loads, characteristics and regularities of ...
GUO Fengyi, BILGUUN Baatar, REN Xue, FANG Zhipeng, ZHANG Hongbo   +4 more
doaj   +1 more source

How do you make a time series sing like a choir? Using the Hilbert-Huang transform to extract embedded frequencies from economic or financial time series [PDF]

The Hilbert-Huang transform (HHT) was developed late last century but has still to be introduced to the vast majority of economists. The HHT transform is a way of extracting the frequency mode features of cycles embedded in any time series using an ...
Crowley, Patrick M
core  

Ninja data analysis with a detection pipeline based on the Hilbert-Huang Transform

, 2009
The Ninja data analysis challenge allowed the study of the sensitivity of data analysis pipelines to binary black hole numerical relativity waveforms in simulated Gaussian noise at the design level of the LIGO observatory and the VIRGO observatory.
Alexander Stroeer, Aylott B, Huang N, Husa S, Jordan Camp, McNabb J, Pretorius F, Pretorius F, Rezzolla L, Scheel M A, Sigg D, Stroeer A Camp J Cannizzo J Gagarin N   +11 more
core   +2 more sources

Cortico‐cortical evoked potentials: Analytical techniques and emerging paradigms for epileptogenic zone localization

Epilepsia, Volume 66, Issue 9, Page 3087-3104, September 2025.
Abstract Cortico‐cortical evoked potentials (CCEPs) are an active electrophysiological technique used during intracranial electroencephalography to evaluate the effective connectivity and influence of therapeutic stimulation between distinct cortical regions and pinpoint epileptogenic zones (EZs) in patients with epilepsy.
Zekai Qiang, Jamie Norris, Gerald Cooray, Richard Rosch, Kai Miller, Dora Hermes, Aswin Chari, Martin Tisdall   +7 more
wiley   +1 more source

Deep learning for computer vision in pulse‐like ground motion identification

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 22, Page 3548-3563, 9 September 2025.
Abstract Near‐fault pulse‐like ground motions can cause severe damage to long‐period engineering structures. A rapid and accurate identification method is essential for seismic design. Deep learning offers a solution by framing pulse‐like motion identification as an image classification task.
Lu Han, Zhengru Tao
wiley   +1 more source

Analyzing nonstationary financial time series via hilbert-huang transform (HHT) [PDF]

, 2008
An apparatus, computer program product and method of analyzing non-stationary time varying phenomena. A representation of a non-stationary time varying phenomenon is recursively sifted using Empirical Mode Decomposition (EMD) to extract intrinsic mode ...
Huang, Norden E.
core   +1 more source

Ecological Resonance Is Reflected in Human Brain Activity

Psychophysiology, Volume 62, Issue 9, September 2025.
ABSTRACT We designed an object interception task using virtual reality and mobile brain/body imaging to test two core hypotheses of ecological psychology and radical embodied cognitive (neuro)science: the ecological resonance hypothesis and the information‐based control laws hypothesis.
Vicente Raja, Klaus Gramann
wiley   +1 more source

Extreme-Point Symmetric Mode Decomposition Method for Data Analysis

, 2013
An extreme-point symmetric mode decomposition (ESMD) method is proposed to improve the Hilbert-Huang Transform (HHT) through the following prospects: (1) The sifting process is implemented by the aid of 1, 2, 3 or more inner interpolating curves, which ...
Li, Zong-Jun, Wang, Jin-Liang
core   +1 more source