Results 51 to 60 of about 4,653 (151)

Low Frequency Oscillation Observed in the Ionosphere Around the Substorm Onsets

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Three substorm events in which Defense Meteorological Satellite Program (DMSP) spacecraft are geomagnetically co‐located with substorm onset locations in IMAGE far ultraviolet auroral images are analyzed. A Hilbert‐Huang Transform is used to decompose the DMSP B⊥ ${B}_{\perp }$ in the ionosphere to its intrinsic mode functions. A dominant mode
Simon Wing, Jay R. Johnson, Elmer C. Rivera, Arthur J. Hull, Peter Damiano   +4 more
wiley   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, Volume 40, Issue 1, Page 2-26, January 2026.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Secure Authentication via Quantum Physical Unclonable Functions: A Review

Advanced Quantum Technologies, Volume 9, Issue 1, January 2026.
This in‐depth review article examines the origins, development, and evolution of Quantum Physical Unclonable Functions (QPUFs), with a particular focus on their use in secure authentication. The topic is motivated and introduced in detail, addressing both theoretical foundations and practical implementations, and is supported by a systematic article ...
Pol Julià Farré, Vladlen Galetsky, Mohamed Belhassen, Gregor Pieplow, Kumar Nilesh, Holger Boche, Tim Schröder, Janis Nötzel, Christian Deppe   +8 more
wiley   +1 more source

Evaluation of Vibration Effect Caused by Carbon Dioxide Phase-Transition Fracturing Based on the Hilbert–Huang Transform [PDF]

, 2022
Baolin Li, Enyuan Wang, Shaobin Hu, Muhammad Ali   +3 more
openalex   +1 more source

Soft Interferometric Nanostrain Sensor Reveals Solid‐Liquid Interfacial Tension Oscillation Amplified by Competitive Adsorption

Small, Volume 22, Issue 6, 27 January 2026.
An interferometric nanostrain sensor is developed to investigate unlabeled protein adsorption by directly measuring real‐time interfacial tensions at unprecedented resolution (<0.25 mN m−1). A high‐frequency, low‐amplitude oscillation of the interfacial tension is found to be superimposed over the Langmuir adsorption.
Samuel K.S. Cheng, Maryam Jalali‐Mousavi, Jian Sheng   +2 more
wiley   +1 more source

Comparison of methods for the identification of mesoscale wind speed fluctuations

Meteorologische Zeitschrift, 2017
Mesoscale wind speed fluctuations influence the characteristics of offshore wind energy. These recurring wind speed changes on time scales between tens of minutes and six hours lead to power output fluctuations. In order to investigate the meteorological
Anna Rieke Mehrens, Lueder von Bremen
doaj   +1 more source

Rupture Directivity From Energy Envelope Deconvolution: Theory and Application to 58 Ridgecrest M 3.5–5.5 Earthquakes

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 1, January 2026.
Abstract Earthquake rupture directivity impacts ground motions and provides insights on fault zone properties and earthquake physics. However, measuring directivity of small earthquakes is challenging due to their compact rupture sizes and complex path and site effects at high frequencies.
Zhe Jia, Peter M. Shearer, Wenyuan Fan
wiley   +1 more source

Effective Variable‐Speed Bearing Fault Diagnosis From Motor Current Signals Using Kurtosis‐Guided VMD and Multi‐Branch Convolutional Neural Network

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This study presents a novel deep learning‐based fault classification framework utilising Variational Mode Decomposition (VMD) for adaptive feature extraction and a Multi‐branch Convolutional Neural Network (M1D‐CNN) architecture for classification. The VMD hyperparameters were optimised based on kurtosis to ensure the extraction of the most informative
Seyyid Ahmed Djellouli, Mounir Djeddi, Aissa Kheldoun, Nima Khosravi, Adel Oubelaid   +4 more
wiley   +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

Application of the Chaotic System–Based Error Trace Diagrams for Partial Discharge Feature Extraction

IET Science, Measurement &Technology, Volume 20, Issue 1, January/December 2026.
This study uses chaotic synchronisation and fractal analysis of acoustic partial discharge signals in 25‐kV cable joints. Extracted 3D error trace features combined with a neural network enable accurate, noise‐robust defect recognition, effectively distinguishing different cable joint defect types with high reliability and ease of implementation ...
Feng‐Chang Gu, Sen‐Fu Chan
wiley   +1 more source