Results 91 to 100 of about 1,586 (236)

Parameter identification in prestressed concrete beams by incremental beam–column equation and physics‐informed neural networks

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 19, Page 2876-2899, 5 August 2025.
Abstract This paper explores a novel methodology for identifying prestress force (and bending rigidity) from the perspective of static deflection methods and derives an incremental beam–column equation (iBCE) by elucidating the mechanisms underlying the long‐ and short‐term behaviors, with particular emphasis on a physical system that disregards long ...
Yifan Yang, Zengwei Guo, Zhiyuan Liu
wiley   +1 more source

Signal noise estimation and removal of sub‐mm 3D pavement texture data using 1D residual denoising network

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 20, Page 3033-3052, 18 August 2025.
Abstract Signal noise removal is an indispensable and critical procedure in obtaining clean pavement texture data for reliable pavement evaluation and management. Nevertheless, the presently established denoising approaches to pavement texture data still rely on traditional techniques that have long struggled with removing noise accurately and ...
Guolong Wang   +4 more
wiley   +1 more source

Reassigning and synchrosqueezing the Stockwell Transform: Complementary proofs

open access: yes, 2015
The S-transform is an efficient tool for time-frequency analysis that gained interest in many signal processingapplication fields. This is due to its ability to produce an analysis with a frequency dependent resolution, as for the wavelettransform, while
Fourer, Dominique   +2 more
core  

Generalization of anomaly detection in bridge structures using a vibration‐based Siamese convolutional neural network

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 18, Page 2751-2768, 18 July 2025.
Abstract Corrosion is one of the main damages in steel bridges, which appears as a loss of material and sectional area and causes member failure over time. A reliable bridge management system not only should help in preventing catastrophic structural failure by employing an in‐time anomaly detection approach for all the bridges within a network but ...
Alireza Ghiasi   +5 more
wiley   +1 more source

The Synchrosqueezed Method and Its Theory-Analysis-Based Novel Short-Time Fractional Fourier Transform for Chirp Signals

open access: yesRemote Sensing
Time–frequency analysis is an important tool used for the processing and interpretation of non-stationary signals, such as seismic data and remote sensing data.
Zhen Li   +4 more
doaj   +1 more source

The Synchrosqueezing transform for instantaneous spectral analysis

open access: yes, 2014
The Synchrosqueezing transform is a time-frequency analysis method that can decompose complex signals into time-varying oscillatory components. It is a form of time-frequency reassignment that is both sparse and invertible, allowing for the recovery of ...
Gaurav Thakur
core  

Wavelet-Enhanced Time-Frequency Analysis Method for Bearing Fault Detection of Rotating Machinery

open access: yesIEEE Access
In industrial settings, analyzing vibration signals from rolling bearings is a key method for diagnosing faults in rotating machinery. However, these faults often appear as a series of transient events with quickly changing frequencies, which makes it ...
Gang Yu   +5 more
doaj   +1 more source

THE APPLICATION OF LCD AND SWT IN FAULT DIAGNOSIS OF ROLLING BEARING

open access: yesJixie qiangdu, 2019
In order to overcome the difficulty of feature extraction of non-stationary faulty signals in rolling bearing fault diagnosis under strong noise background, a method based on local characteristic-scale decomposition and synchrosqueezing wavelet transform
LIU YiYa, LI Ke, CHEN Peng
doaj  

Finite Synchrosqueezing Transform Based On The STFT

open access: yes, 2017
The finite STFT Synchrosqueezing transform is a time-frequency analysis method that can decompose finite complex signals into time-varying oscillatory components. This representation is sparse and invertible, allowing recovery of the original signal.
Mohammadpour, Mozhgan   +2 more
openaire   +2 more sources

High-Order Adaptive Synchrosqueezing Transform

open access: yes, 2020
The prevalence of the separation of multicomponent non-stationary signals across many elds of research makes this concept an important subject of study. The synchrosqueezing transform (SST) is a particular type of reassignment method. It aims to separate
Alzahrani, Jawaher
core  

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