Results 41 to 50 of about 17,339 (180)
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
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
doaj +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
wiley +1 more source
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
Estimating the critical angle of top near‐surface layers on the Moon
Near Surface Geophysics, EarlyView.Abstract Near‐surface characterization of the lunar subsurface is essential for future exploration and infrastructure development, particularly for the construction of underground habitats that provide protection against radiation and micrometeorites. However, conventional seismic approaches for estimating subsurface properties typically rely on prior ...
Nelson Ricardo Coelho Flores Zuniga +1 more
wiley +1 more source
On the Hilbert-Huang Transform Theoretical Developments [PDF]
, 2005 One of the main heritage tools used in scientific and engineering data spectrum analysis is the Fourier Integral Transform and its high performance digital equivalent - the Fast Fourier Transform (FFT).
Hestnes, P. +11 more
core +2 more sources
Testing Distributional Granger Causality With Entropic Optimal Transport
Journal of Time Series Analysis, EarlyView.ABSTRACT We develop a novel nonparametric test for Granger causality in distribution based on entropic optimal transport. Unlike classical mean‐based approaches, the proposed method directly compares the full conditional distributions of a response variable with and without the history of a candidate predictor.
Tao Wang
wiley +1 more source
Fault Identify of Bearing Using Enhanced Hilbert-Huang Transform [PDF]
, 2017 Today the maintenance and repair based on condition monitoring techniques of rotating equipment is one of the most important tools to prevent stopping of production and reduce the cost of maintenance and repair and the vibration analysis according to the
Ali Shakibazadeh +1 more
core +1 more source
New Hilbert-Huang transform associated with linear canonical transform
四川大学学报. 自然科学版, 2016 Hilbert-Huang transform is an efficient non-stationary signal analysis tool. In its processing, two aspects are included: (i) empirical mode decomposition; (ii) Hilbert spectral analysis.
LIU Lu-Bo, LUO Mao-Kang, LAI Li
doaj
Energies, 2017 The analysis of electrical signals is a pressing requirement for the optimal design of power distribution. In this context, this paper illustrates how to use a variety of numerical tools, such as the Fourier, wavelet, and Hilbert-Huang transforms, to ...
Vito Puliafito +2 more
doaj +1 more source