Results 91 to 100 of about 98,906 (246)

Imprint of the Quasi‐Biennial Oscillation on the Ionosphere and Thermosphere

Journal of Geophysical Research: Space Physics, Volume 131, Issue 4, April 2026.
Abstract The Quasi‐Biennial Oscillation (QBO) is a dominant mode of stratospheric variability and is known to modulate the variability of the ionosphere‐thermosphere (IT) system. However, the extent of its influence on the ionosphere‐thermosphere system remains uncertain due to weak signals and confounding with similar periodicities in solar flux.
D. Singh, L. P. Goncharenko, S. R. Zhang
wiley   +1 more source

Cutting force response in milling of Inconel: analysis by wavelet and Hilbert-Huang Transforms

Latin American Journal of Solids and Structures
We study the milling process of Inconel. By continuously increasing the cutting depth we follow the system response and appearance of oscillations of larger amplitude.
Grzegorz Litak, Krzysztof Kecik, Rafal Rusinek   +2 more
doaj   +1 more source

Permanent magnet synchronous machine stator windings fault detection by Hilbert–Huang transform

The Journal of Engineering, 2019
The Hilbert–Huang transform (HHT) is a time-frequency signal analysis method based on empirical mode decomposition and the Hilbert transform. It is well suited for reliable fault detection since it is unaffected by transient conditions which might cause ...
Fernando Alvarez-Gonzalez, Antonio Griffo, Antonio Griffo, Bo Wang   +3 more
doaj   +1 more source

Cross‐Modal Urban Sensing: Evaluating Sound–Vision Alignment Across Street‐Level and Aerial Imagery

Transactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT Environmental soundscapes carry rich ecological and social information, yet remain underutilized in geographic analysis. This study introduces a unified cross‐modal evaluation framework to examine how urban sounds align with visual representations from street‐level and aerial perspectives, and how different visual representation strategies ...
Pengyu Chen, Xiao Huang, Teng Fei, Sicheng Wang   +3 more
wiley   +1 more source

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

Segmentation of Killer Whale Vocalizations Using the Hilbert-Huang Transform

EURASIP Journal on Advances in Signal Processing, 2008
The study of cetacean vocalizations is usually based on spectrogram analysis. The feature extraction is obtained from 2D methods like the edge detection algorithm.
Olivier Adam
doaj   +1 more source

Gear Fault Diagnosis Method Based on Deep Transfer Learning

Jixie chuandong, 2023
Aiming at the problem of insufficient gear fault samples, a fault diagnosis method of transfer learning based on Hilbert-Huang spectrum and pre-trained VGG16 model is proposed.
Liu Shihao, Wang Xiyang, Gong Tingkai
doaj   +2 more sources

Quantifying and Classifying Non‐Stationary Turbulence Under Sub‐Mesoscale Disturbances

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract Non‐stationary turbulence induced by sub‐mesoscale disturbances can substantially bias flux estimates, yet is largely overlooked in existing evaluation frameworks. Using turbulence measurements over the heterogeneous Loess Plateau, we found that classical stationarity tests classify >60% of records containing clear submesoscale disturbances as
Yue Xu, Yan Ren, Hongsheng Zhang, Peixuan Kang, Jiening Liang, Xianjie Cao, Pengfei Tian, Lei Zhang   +7 more
wiley   +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

Distribution shifts in trustworthy machine learning

AI Magazine, Volume 47, Issue 1, Spring 2026.
Abstract This article investigates the impact of distribution shifts in trustworthy machine learning. To this end, we start by summarizing fine‐grained types of distribution shifts commonly studied in machine learning communities. To tackle distribution shifts across domains, we present our research across various learning scenarios by enforcing ...
Jun Wu
wiley   +1 more source