Results 81 to 90 of about 1,586 (236)

Acoustic Emission Signal Detection for Internal Valve Leakage in Liquid‐Filled Pipelines Using Kernel Principal Component Analysis

open access: yesShock and Vibration, Volume 2026, Issue 1, 2026.
To detect internal valve leakage in liquid‐filled pipelines, a method using kernel principal component analysis (KPCA) is proposed to analyze acoustic emission (AE) signals for leakage detection. Time‐frequency analysis and root mean square (RMS) values of AE signals across various frequency bands reveal that the dominant frequency band for valve ...
Runlin Zhang   +5 more
wiley   +1 more source

Wide‐area damping control in renewable integrated power systems: A review on recent achievements and new challenges

open access: yesEnergy Conversion and Economics, Volume 6, Issue 6, Page 341-358, December 2025.
Abstract Low‐frequency oscillations (LFOs) remain a major obstacle to maintaining stable dynamic performance in power systems with high levels of renewable energy integration. In particular, inter‐area LFOs have emerged as a critical concern in large, interconnected grids.
Linglin Meng   +10 more
wiley   +1 more source

An Instantaneous Engine Speed Estimation Method Using Multiple Matching Synchrosqueezing Transform [PDF]

open access: hybrid, 2021
Youyong Liu   +5 more
openalex   +1 more source

Influences of Hydrodynamic Forces on the Identification of the Rotor-Stator-Rubbing Fault in a Rotating Machinery

open access: yesInternational Journal of Rotating Machinery, 2020
Mechanical failures of a complex machine such as rotor widely used in severe conditions often require specialized knowledge, technical expertise, and imagination to prevent its rupture. In this paper, a model for analyzing excitation of a coupled lateral-
Bernard Xavier Tchomeni   +2 more
doaj   +1 more source

Efficient unsupervised domain adaptation for crack segmentation with interpretable Fourier– Morphology blending and Uncertainty‐guided self‐training

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 29, Page 5790-5807, 9 December 2025.
Abstract Automated crack segmentation models are vital for infrastructure monitoring but fail when deployed in new domains. Overcoming this domain shift without costly re‐annotation is vital. This paper presents a novel unsupervised domain adaptation framework that uniquely integrates Fourier‐based style transfer with targeted morphological operators ...
Saheli Bhattacharya   +4 more
wiley   +1 more source

Time‐frequency synchroextracting transform

open access: yesIET Signal Processing, 2022
The study proposes a novel time‐frequency analysis technique, titled time‐frequency synchroextracting transform which enhances the accuracy of synchroextracting transform.
Ran Zhang   +6 more
doaj   +1 more source

Structural identification of material properties and load parameters using a differentiable material point method

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 24, Page 3856-3874, 6 October 2025.
Abstract This study introduces a novel optimization framework based on the differentiable material point method (DiffMPM) for the identification of structural and loading parameters from dynamic structural monitoring data. Structural health monitoring (SHM) methodologies are often challenged by the need to interpret limited and noisy measurements for ...
Jeffrey Cheng   +2 more
wiley   +1 more source

Analysis of Synchrosqueezed Transforms and Application Perspectives

open access: yes, 2022
High-resolution time-frequency (TF) analysis plays crucial role in characterizing multicomponent signal (MCSs) and estimating oscillatory properties. Linear time-frequency representations (TFRs) such as classical short-time Fourier transform (STFT) and continuous wavelet transform (CWT) incur constrained TF resolution and energy diffusion in both time ...
openaire   +2 more sources

Emotional recognition while watching emotional videos: Based on electroencephalography signal analysis and machine learning models

open access: yesIbrain, Volume 11, Issue 3, Page 347-363, Fall 2025.
Overview of the EEG‐based emotion classification framework. The process starts with EEG signal recording while subjects watch five emotional videos. The raw EEG data undergoes preprocessing, including noise and artifact removal, followed by segmentation, feature extraction, and selection.
Afshin S. Asl, Sahar Karimpour
wiley   +1 more source

The Fourier-based Synchrosqueezing Transform

open access: yes, 2013
The short-time Fourier transform (STFT) and continuous wavelet transform (CWT) are intensively used to analyze and process multicomponent signals, ie superpositions of mod- ulated waves.
Perrier, Valérie   +2 more
core  

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