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Wavelet-based technique for structural damage detection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jsvi.1996.0226openalex-snapshot
APPLICATION OF WAVELETS TO GEARBOX VIBRATION SIGNALS FOR FAULT DETECTION
inferredcites →https://doi.org/10.1016/0013-7944(92)90227-6openalex-snapshot
Detection of cracks in structures using modal test data
inferredcites →https://doi.org/10.1016/j.engstruct.2003.08.009openalex-snapshot
Applications of wavelet transforms to damage detection in frame structures
inferredcites →https://doi.org/10.1016/j.ijsolstr.2005.04.031openalex-snapshot
Wavelet packet based damage identification of beam structures
inferredcites →https://doi.org/10.1016/s0020-7683(98)00152-8openalex-snapshot
Damage detection with spatial wavelets
inferredcites →https://doi.org/10.1016/s0141-0296(96)00149-6openalex-snapshot
Detection of structural damage through changes in frequency: a review
inferredcites →https://doi.org/10.1016/s0888-3270(03)00075-xopenalex-snapshot
Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography
inferredcites →https://doi.org/10.1061/(asce)0733-9399(1998)124:10(1059)openalex-snapshot
Identification of Nonlinear Structural Dynamic Systems Using Wavelets
inferredcites →https://doi.org/10.1109/18.119732openalex-snapshot
Entropy-based algorithms for best basis selection
inferredcites →https://doi.org/10.1109/34.192463openalex-snapshot
A theory for multiresolution signal decomposition: the wavelet representation
inferredcites →https://doi.org/10.1115/1.1597213openalex-snapshot
Vibration Confinement via Optimal Eigenvector Assignment and Piezoelectric Networks
inferredcites →https://doi.org/10.2208/journalam.5.837openalex-snapshot
Study on Damage Evaluation of Joint in Steel Member by using Local Vibration Excitation
inferredcites →https://doi.org/10.2208/journalam.8.73openalex-snapshot
Structural damage identification algorithm based on changes in power spectral density
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/stc.1662openalex-snapshot
New damage indices and algorithm based on square time-frequency distribution for damage detection in concrete piers of railroad bridges
inferred← citeshttps://doi.org/10.1002/stc.2232openalex-snapshot
New damage index based on least squares distance for damage diagnosis in steel girder of bridge's deck
inferred← citeshttps://doi.org/10.1002/stc.2447openalex-snapshot
Damage detection of steel girder railway bridges utilizing operational vibration response
inferred← citeshttps://doi.org/10.1002/stc.2522openalex-snapshot
Structural damage identification by sparse deep belief network using uncertain and limited data
inferred← citeshttps://doi.org/10.1002/stc.2606openalex-snapshot
Simple piecewise linearisation in time series for time‐domain inversion to estimate physical parameters of nonlinear structures
inferred← citeshttps://doi.org/10.1002/stc.2619openalex-snapshot
Wheelset bearing fault detection using morphological signal and image analysis
inferred← citeshttps://doi.org/10.1002/stc.2730openalex-snapshot
Enhanced vibration decomposition method based on multisynchrosqueezing transform and analytical mode decomposition
inferred← citeshttps://doi.org/10.1002/stc.2833openalex-snapshot
Extracting the time‐dependent resonances of a vehicle–bridge interacting system by wavelet synchrosqueezed transform
inferred← citeshttps://doi.org/10.1002/stc.2956openalex-snapshot
Energy dissipation‐based material deterioration assessment using random decrement technique and convolutional neural network: A case study of Saigon bridge in Ho Chi Minh City, Vietnam
inferred← citeshttps://doi.org/10.1002/stc.366openalex-snapshot
Crack detection in simply supported beams using stationary wavelet transform of modal data
inferred← citeshttps://doi.org/10.1007/978-3-030-74258-4_29openalex-snapshot
Analytic Wavelet Selection for Time–Frequency Analysis of Big Data Form Civil Structure Monitoring
inferred← citeshttps://doi.org/10.1007/s10921-020-00744-8openalex-snapshot
Vibration-Based Damage Identification in Steel Girder Bridges Using Artificial Neural Network Under Noisy Conditions
inferred← citeshttps://doi.org/10.1007/s10921-024-01057-wopenalex-snapshot
Damage Identification in Steel Girders of Highway Bridges Utilizing Vibration Based Methods and Convolution Neural Network in the Presence of Noise
inferred← citeshttps://doi.org/10.1016/j.engfailanal.2020.105010openalex-snapshot
Damage identification in steel girder bridges using modal strain energy-based damage index method and artificial neural network
inferred← citeshttps://doi.org/10.1016/j.istruc.2020.12.002openalex-snapshot
Damage detection in precast full panel building by continuous wavelet analysis analytical method
inferred← citeshttps://doi.org/10.1016/j.istruc.2022.10.020openalex-snapshot
An anomaly pattern detection for bridge structural response considering time-varying temperature coefficients
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2025.120723openalex-snapshot
Deep-sea pipeline damage identification using digital twin-assisted enhanced meta-transfer learning
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.107866openalex-snapshot
Damage detection in steel bridges using modal strain energy and improved β-index method
inferred← citeshttps://doi.org/10.1016/j.ymssp.2021.107880openalex-snapshot
Multi-site damage precise localization via the random vibration functional model based method: Formulation & concept validation
inferred← citeshttps://doi.org/10.1061/jbenf2.beeng-7128openalex-snapshot
Signal Separation of Simulated and Monitored Deflections Based on a Hybrid Bridge System Using the EEMD-GSA-LSSVM Approach
inferred← citeshttps://doi.org/10.1080/13287982.2021.1908710openalex-snapshot
A Data-Driven Damage Assessment Tool for Truss-Type Railroad Bridges Using Train Induced Strain Time-History Response
inferred← citeshttps://doi.org/10.1080/14680629.2020.1714699openalex-snapshot
Identification of asphalt pavement transverse cracking based on vehicle vibration signal analysis
inferred← citeshttps://doi.org/10.1080/15732479.2024.2401381openalex-snapshot
Vibration based dual-criteria damage detection method using deep neural networks in highway bridges with steel girders
inferred← citeshttps://doi.org/10.1109/tie.2015.2389761openalex-snapshot
Improvements in Axle Box Acceleration Measurements for the Detection of Light Squats in Railway Infrastructure
inferred← citeshttps://doi.org/10.1115/1.4033839openalex-snapshot
Control of a Linear Time-Varying System With a Forward Riccati Formulation in Wavelet Domain
inferred← citeshttps://doi.org/10.1117/12.2661723openalex-snapshot
Machine learning technique for damage detection of rails on steel railroad bridges subjected to moving train load
inferred← citeshttps://doi.org/10.1155/2021/8847524openalex-snapshot
Intelligent Identification of Structural Damage Based on the Curvature Mode and Wavelet Analysis Theory
inferred← citeshttps://doi.org/10.1155/2022/9824882openalex-snapshot
A Novel Damage Detection Method of Reinforced Concrete Frames Using Signal Processing and Extracted Near-Fault Fling-Step Pulses
inferred← citeshttps://doi.org/10.1155/2023/6321012openalex-snapshot
Time-Domain Structural Damage Identification Using Ensemble Bagged Trees and Evolutionary Optimization Algorithms
inferred← citeshttps://doi.org/10.1155/2023/9594308openalex-snapshot
Fatigue Damage Identification by a Global-Local Integrated Procedure for Truss-Like Steel Bridges
inferred← citeshttps://doi.org/10.12989/smm.2015.2.4.383openalex-snapshot
On the use of numerical models for validation of high frequency based damage detection methodologies
inferred← citeshttps://doi.org/10.12989/smm.2020.7.2.149openalex-snapshot
Damage detection of railway bridges using operational vibration data: theory and experimental verifications
inferred← citeshttps://doi.org/10.21595/jve.2015.16474openalex-snapshot
Signal processing based damage detection of concrete bridge piers subjected to consequent excitations
inferred← citeshttps://doi.org/10.21595/jve.2019.20154openalex-snapshot
Damage identification of bridge structure based on frequency domain decomposition and strain mode
inferred← citeshttps://doi.org/10.24200/j30.2021.56201.2808openalex-snapshot
تشخیص آسیب در پایه های اسکله ی شمع و عرشه با استفاده از روش تابع چگالی انرژی سیگنال
inferred← citeshttps://doi.org/10.32604/sdhm.2021.012751openalex-snapshot
Comparative Analysis of Wavelet Transform for Time-Frequency Analysis and Transient Localization in Structural Health Monitoring
inferred← citeshttps://doi.org/10.3389/fbuil.2023.1129403openalex-snapshot
An acceleration-oriented form of simple piecewise linearisation in time series to assess seismically damaged structures
inferred← citeshttps://doi.org/10.3390/lubricants10050075openalex-snapshot
Determination of the Preload of Bolts for Structural Health Monitoring of a Multi-Bolted Joint: FEM Approach
inferred← citeshttps://doi.org/10.3390/s23198308openalex-snapshot
Pile Damage Detection Using Machine Learning with the Multipoint Traveling Wave Decomposition Method
inferred← citeshttps://doi.org/10.3390/su15054086openalex-snapshot
Real-Time Intelligent Prediction Method of Cable’s Fundamental Frequency for Intelligent Maintenance of Cable-Stayed Bridges
inferred← citeshttps://doi.org/10.3390/vibration4020028openalex-snapshot
Development of a Novel Damage Detection Framework for Truss Railway Bridges Using Operational Acceleration and Strain Response
inferred← citeshttps://doi.org/10.3990/1.9789036560382openalex-snapshot
Utilizing the system instantaneous frequency for the structural health monitoring of bridges
inferred← citeshttps://doi.org/10.5815/ijigsp.2018.04.01openalex-snapshot
A Novel Method for Crack Detection in Steel Cantilever Beam Using Wavelet Analysis by Combination Mode Shapes
inferred← citeshttps://doi.org/10.6088/ijcser.00202030025openalex-snapshot
A harmonic vibration, output only and time-frequency representation based method for damage detection in Concrete piers of complex bridges
inferred← citeshttps://doi.org/10.7939/r3-fcmx-1q69openalex-snapshot
Development of a damage detection framework for railway bridges using operational response
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