On the public citation graph

Multi-Damage Quantitative Detection in Composite Wind Turbine Blade Combining Curvature Modal Shape Based on the Surface Interpolation Method with Extreme Learning Machine

https://doi.org/10.2139/ssrn.4679659
0 signed · 45 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.advengsoft.2022.103371openalex-extracted
Damage detection in slab structures based on two-dimensional curvature mode shape method and Faster R-CNN
inferredcites →https://doi.org/10.1016/j.compstruct.2016.04.001openalex-extracted
Two-dimensional modal curvature estimation via Fourier spectral method for damage detection
inferredcites →https://doi.org/10.1016/j.compstruct.2020.112954openalex-extracted
Damage mode identification and singular signal detection of composite wind turbine blade using acoustic emission
inferredcites →https://doi.org/10.1016/j.compstruct.2023.117494openalex-extracted
Experimental study on delamination identification in tapered laminated composite plates using damage detection models
inferredcites →https://doi.org/10.1016/j.engstruct.2016.10.030openalex-extracted
Seismic damage assessment of RC structures under shaking table tests using the modified direct stiffness calculation method
inferredcites →https://doi.org/10.1016/j.istruc.2021.03.049openalex-extracted
Modal testing and evaluation of cracks on cantilever beam using mode shape curvatures and natural frequencies
inferredcites →https://doi.org/10.1016/j.istruc.2023.105086openalex-extracted
Conflation of modal strain energy, spectral finite element, and machine learning techniques for damage detection in multi-span steel girder bridges with variable sections
inferredcites →https://doi.org/10.1016/j.istruc.2023.105242openalex-extracted
Combination of wavelet transform and extreme learning machine for detecting damages in composite plates
inferredcites →https://doi.org/10.1016/j.jsv.2015.02.038openalex-extracted
Two-dimensional curvature mode shape method based on wavelets and Teager energy for damage detection in plates
inferredcites →https://doi.org/10.1016/j.jsv.2017.05.007openalex-extracted
On the classification of normalized natural frequencies for damage detection in cantilever beam
inferredcites →https://doi.org/10.1016/j.jsv.2018.01.050openalex-extracted
Vibration-based damage detection in wind turbine blades using Phase-based Motion Estimation and motion magnification
inferredcites →https://doi.org/10.1016/j.jsv.2020.115591openalex-extracted
Numerical, statistical and experimental investigation on damage quantification in beams from modal curvature
inferredcites →https://doi.org/10.1016/j.jsv.2022.116943openalex-extracted
A novel damage detection method in beam-like structures based on the relation between modal kinetic energy and modal strain energy and using only damaged structure data
inferredcites →https://doi.org/10.1016/j.jsv.2023.118068openalex-extracted
A novel demodulation method with a reference signal for operational modal analysis and baseline-free damage detection of a beam under random excitation
inferredcites →https://doi.org/10.1016/j.measurement.2022.112218openalex-extracted
Learning-based video motion magnification approach for vibration-based damage detection
inferredcites →https://doi.org/10.1016/j.measurement.2023.113706openalex-extracted
Real-time measurement method of drilling fluid rheological parameters based on multi-objective inversion
inferredcites →https://doi.org/10.1016/j.neucom.2012.11.035openalex-extracted
A multi-objective micro genetic ELM algorithm
inferredcites →https://doi.org/10.1016/j.oceaneng.2017.05.021openalex-extracted
Research on structural damage detection of offshore platforms based on grouping modal strain energy
inferredcites →https://doi.org/10.1016/j.oceaneng.2019.106226openalex-extracted
Structural health monitoring of towers and blades for floating offshore wind turbines using operational modal analysis and modal properties with numerical-sensor signals
inferredcites →https://doi.org/10.1016/j.oceaneng.2020.107006openalex-extracted
Damage detection on hull girder of ship subjected to explosion loading
inferredcites →https://doi.org/10.1016/j.oceaneng.2020.108337openalex-extracted
Improved Modal Strain Energy Decomposition Method for damage detection of offshore platforms using data of sensors above the water level
inferredcites →https://doi.org/10.1016/j.oceaneng.2022.111055openalex-extracted
Numerical and experimental structural damage detection in an offshore flare bridge using a proposed modal strain energy method
inferredcites →https://doi.org/10.1016/j.oceaneng.2022.111603openalex-extracted
Damage detection of wind turbine blades by Bayesian multivariate cointegration
inferredcites →https://doi.org/10.1016/j.oceaneng.2022.111921openalex-extracted
Multiaxial fatigue assessment of floating offshore wind turbine blades operating on compliant floating platforms
inferredcites →https://doi.org/10.1016/j.oceaneng.2022.112317openalex-extracted
A robust technique for damage identification of marine fiberglass rectangular composite plates using 2-D discrete wavelet transform and radial basis function networks
inferredcites →https://doi.org/10.1016/j.oceaneng.2022.112552openalex-extracted
Acoustic emission based damage source localization for structural digital twin of wind turbine blades
inferredcites →https://doi.org/10.1016/j.oceaneng.2023.114387openalex-extracted
Quantitative detection of multiple damages in wind turbine blade based on the operating deflection shape and natural frequencies
inferredcites →https://doi.org/10.1016/j.oceaneng.2023.115317openalex-extracted
Investigation of bamboo-based vertical axis wind turbine blade under static loading
inferredcites →https://doi.org/10.1016/j.oceaneng.2023.115325openalex-extracted
Damage localization and quantification in offshore jacket structures using signal processing and intelligent system
inferredcites →https://doi.org/10.1016/j.renene.2022.05.085openalex-extracted
A novel wind turbine fault diagnosis method based on compressed sensing and DTL-CNN
inferredcites →https://doi.org/10.1016/j.rser.2022.112723openalex-extracted
Recent advances in damage detection of wind turbine blades: A state-of-the-art review
inferredcites →https://doi.org/10.1016/j.tws.2019.106426openalex-extracted
A multi-view optical technique to extract the operating deflection shapes of a full vehicle using digital image correlation
inferredcites →https://doi.org/10.1016/j.ymssp.2014.03.006openalex-extracted
Damage detection method for wind turbine blades based on dynamics analysis and mode shape difference curvature information
inferredcites →https://doi.org/10.1016/j.ymssp.2015.09.007openalex-extracted
Optimal selection of autoregressive model coefficients for early damage detectability with an application to wind turbine blades
inferredcites →https://doi.org/10.1016/j.ymssp.2015.10.023openalex-extracted
A simple damage detection indicator using operational deflection shapes
inferredcites →https://doi.org/10.1016/j.ymssp.2016.01.012openalex-extracted
A concept of complex-wavelet modal curvature for detecting multiple cracks in beams under noisy conditions
inferredcites →https://doi.org/10.1016/j.ymssp.2016.07.005openalex-extracted
Fourier spectral-based modal curvature analysis and its application to damage detection in beams
inferredcites →https://doi.org/10.1016/j.ymssp.2019.06.027openalex-extracted
A novel method for single and multiple damage detection in beams using relative natural frequency changes
inferredcites →https://doi.org/10.1016/j.ymssp.2019.106445openalex-extracted
Damage detection techniques for wind turbine blades: A review
inferredcites →https://doi.org/10.1016/j.ymssp.2022.109067openalex-extracted
A Bayesian approach for fatigue damage diagnosis and prognosis of wind turbine blades
inferredcites →https://doi.org/10.1177/1475921713492365openalex-extracted
Damage detection in plates using two-dimensional directional Gaussian wavelets and laser scanned operating deflection shapes
inferredcites →https://doi.org/10.1177/1475921716663876openalex-extracted
Vibration-based experimental damage detection of a small-scale wind turbine blade
inferredcites →https://doi.org/10.1177/14759217231173589openalex-extracted
Method using singular value decomposition and whale optimization algorithm to quantitatively detect multiple damages in turbine blades
inferredcites →https://doi.org/10.2139/ssrn.4229935openalex-extracted
Learning-Based Video Motion Magnification Approach for Vibration-Based Damage Detection
inferredcites →https://doi.org/10.2139/ssrn.4349144openalex-extracted
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.