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

