Structural Health Monitoring-An International Journal

Papers
(The median citation count of Structural Health Monitoring-An International Journal is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights211
Machine learning paradigm for structural health monitoring166
Efficient attention-based deep encoder and decoder for automatic crack segmentation162
Three decades of statistical pattern recognition paradigm for SHM of bridges97
Crack detection of concrete structures using deep convolutional neural networks optimized by enhanced chicken swarm algorithm95
A new fault diagnosis method based on adaptive spectrum mode extraction95
Data privacy preserving federated transfer learning in machinery fault diagnostics using prior distributions84
An adaptive and efficient variational mode decomposition and its application for bearing fault diagnosis81
Structural damage detection method based on the complete ensemble empirical mode decomposition with adaptive noise: a model steel truss bridge case study73
Vision-based automated crack detection using convolutional neural networks for condition assessment of infrastructure66
Simulation data driven weakly supervised adversarial domain adaptation approach for intelligent cross-machine fault diagnosis63
Anomaly detection of structural health monitoring data using the maximum likelihood estimation-based Bayesian dynamic linear model57
Bayesian dynamic regression for reconstructing missing data in structural health monitoring55
Modified Gaussian convolutional deep belief network and infrared thermal imaging for intelligent fault diagnosis of rotor-bearing system under time-varying speeds53
Continuous missing data imputation with incomplete dataset by generative adversarial networks–based unsupervised learning for long-term bridge health monitoring52
A new dam structural response estimation paradigm powered by deep learning and transfer learning techniques50
Statistics-based baseline-free approach for rapid inspection of delamination in composite structures using ultrasonic guided waves48
Augmented reality for enhanced visual inspection through knowledge-based deep learning47
Assessment and visualization of performance indicators of reinforced concrete beams by distributed optical fibre sensing46
Monitoring deformations of infrastructure networks: A fully automated GIS integration and analysis of InSAR time-series46
Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing44
Analytical approach for crack identification of glass fiber reinforced polymer–sea sand concrete composite structures based on strain dissipations43
A novel data-driven method for structural health monitoring under ambient vibration and high-dimensional features by robust multidimensional scaling43
Guided wave–based rail flaw detection technologies: state-of-the-art review41
An acoustic-homologous transfer learning approach for acoustic emission–based rail condition evaluation41
Techniques of corrosion monitoring of steel rebar in reinforced concrete structures: A review40
A review of structural health monitoring of bonded structures using electromechanical impedance spectroscopy40
Recent progress in aircraft smart skin for structural health monitoring39
Damage imaging in skin-stringer composite aircraft panel by ultrasonic-guided waves using deep learning with convolutional neural network39
A novel intelligent inspection robot with deep stereo vision for three-dimensional concrete damage detection and quantification39
The 1st International Project Competition for Structural Health Monitoring (IPC-SHM, 2020): A summary and benchmark problem38
Non-parametric empirical machine learning for short-term and long-term structural health monitoring37
A review on diagnostic and prognostic approaches for gears37
Investigation on the data augmentation using machine learning algorithms in structural health monitoring information35
Comparative study on the use of acoustic emission and vibration analyses for the bearing fault diagnosis of high-speed trains32
An optimized variational mode extraction method for rolling bearing fault diagnosis31
Optimum wavelet selection for nonparametric analysis toward structural health monitoring for processing big data from sensor network: A comparative study31
An innovative deep neural network–based approach for internal cavity detection of timber columns using percussion sound31
The use of satellite data to support the structural health monitoring in areas affected by slow-moving landslides: a potential application to reinforced concrete buildings31
High resolution bolt pre-load looseness monitoring using coda wave interferometry30
Distribution adaptation deep transfer learning method for cross-structure health monitoring using guided waves30
A novel adaptive bandwidth selection method for Vold–Kalman filtering and its application in wind turbine planetary gearbox diagnostics30
Robust fault diagnosis of rolling bearing via phase space reconstruction of intrinsic mode functions and neural network under various operating conditions30
Lightweight semantic segmentation of complex structural damage recognition for actual bridges29
Modulation signal bispectrum with optimized wavelet packet denoising for rolling bearing fault diagnosis29
Combined machine learning–wave propagation approach for monitoring timber mechanical properties under UV aging29
Bayesian dynamic linear model framework for structural health monitoring data forecasting and missing data imputation during typhoon events29
Acoustic emission source characterisation of chloride-induced corrosion damage in reinforced concrete28
Simultaneous pixel-level concrete defect detection and grouping using a fully convolutional model28
Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring27
A spatial association-coupled double objective support vector machine prediction model for diagnosing the deformation behaviour of high arch dams27
1D-TICapsNet: An audio signal processing algorithm for bolt early looseness detection26
Enabling human–infrastructure interfaces for inspection using augmented reality26
Railway defect detection based on track geometry using supervised and unsupervised machine learning25
Damage detection on a historic iron bridge using satellite DInSAR data25
Deep learning-based indirect bridge damage identification system25
Bolt damage identification based on orientation-aware center point estimation network24
Deep learning enhanced principal component analysis for structural health monitoring24
Steel bridge corrosion inspection with combined vision and thermographic images24
An innovative machine learning based framework for water distribution network leakage detection and localization23
Fusion-based damage diagnostics for stiffened composite panels23
Acoustic inspection system with unmanned aerial vehicles for wind turbines structure health monitoring23
A Feature Extraction & Selection Benchmark for Structural Health Monitoring22
A method for structural monitoring of multispan bridges using satellite InSAR data with uncertainty quantification and its pre-collapse application to the Albiano-Magra Bridge in Italy22
A hybrid structural health monitoring approach for damage detection in steel bridges under simulated environmental conditions using numerical and experimental data22
Laboratory investigation of a bridge scour monitoring method using decentralized modal analysis21
Life-cycle management cost analysis of transportation bridges equipped with seismic structural health monitoring systems21
Acoustic emission waveforms for damage monitoring in composite materials: Shifting in spectral density, entropy and wavelet packet transform21
Monitoring the curing process of in-situ concrete with piezoelectric-based techniques – A practical application21
Crack detection in ultrahigh-performance concrete using robust principal component analysis and characteristic evaluation in the frequency domain21
Feature pyramid network with self-guided attention refinement module for crack segmentation20
Novelty detection of cable-stayed bridges based on cable force correlation exploration using spatiotemporal graph convolutional networks20
Effect of fiber dosage on water permeability using a newly designed apparatus and crack monitoring of steel fiber–reinforced concrete under direct tensile loading20
The installation of embedded ultrasonic transducers inside a bridge to monitor temperature and load influence using coda wave interferometry technique20
Quantifying the value of information from inspecting and monitoring engineering systems subject to gradual and shock deterioration20
Towards high-precision data modeling of SHM measurements using an improved sparse Bayesian learning scheme with strong generalization ability20
Data-driven dictionary design–based sparse classification method for intelligent fault diagnosis of planet bearings19
Multi-feature integration and machine learning for guided wave structural health monitoring: Application to switch rail foot19
Deep learning-based obstacle-avoiding autonomous UAVs with fiducial marker-based localization for structural health monitoring19
A novel structural damage identification method based on the acceleration responses under ambient vibration and an optimized deep residual algorithm19
A CNN-integrated percussion method for detection of FRP–concrete interfacial damage with FEM reconstruction18
Deep learning-based concrete defects classification and detection using semantic segmentation18
Pipeline leak detection and corrosion monitoring based on a novel FBG pipe-fixture sensor18
A convolutional neural network for pipe crack and leak detection in smart water network18
Structural damage monitoring for metallic panels based on acoustic emission and adaptive improvement variational mode decomposition–wavelet packet transform18
A mechanical model to interpret distributed fiber optic strain measurement at displacement discontinuities18
1D-CNN-based damage identification method based on piezoelectric impedance using adjustable inductive shunt circuitry for data enrichment17
Transfer learning-based data anomaly detection for structural health monitoring17
Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events17
A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos17
A novel method for steel bar all-stage pitting corrosion monitoring using the feature-level fusion of ultrasonic direct waves and coda waves17
Comparison of neural networks based on accuracy and robustness in identifying impact location for structural health monitoring applications17
On information modeling in structural integrity management17
A comprehensive evaluation method for concrete dam health state combined with gray-analytic hierarchy-optimization theory17
Fatigue damage diagnosis and prognosis of an aeronautical structure based on surrogate modelling and particle filter17
Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor searching17
Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method17
A portable bolt-loosening detection system with piezoelectric-based nondestructive method and artificial neural networks16
Enhanced hierarchical symbolic sample entropy: Efficient tool for fault diagnosis of rotating machinery16
Robust fault diagnosis of rolling bearings via entropy-weighted nuisance attribute projection and neural network under various operating conditions16
Health condition monitoring of bearings based on multifractal spectrum feature with modified empirical mode decomposition-multifractal detrended fluctuation analysis16
A novel strategy using optimized MOMED and B-spline based envelope-derivative operator for compound fault detection of the rolling bearing15
Static strain-based identification of extensive damages in thin-walled structures15
Simulated Lamb wave propagation method for nondestructive monitoring of matrix cracking in laminated composites15
A novel time–frequency transform for broadband Lamb waves dispersion characteristics analysis15
A cyclostationarity-based wear monitoring framework of spur gears in intelligent manufacturing systems15
Experimental investigation of fiber Bragg grating hoop strain sensor–based method for sudden leakage monitoring of gas pipeline15
Temperature compensation to guided wave-based monitoring of bolt loosening using an attention-based multi-task network15
A dynamic harmonic regression approach for bridge structural health monitoring15
Change detection using the generalized likelihood ratio method to improve the sensitivity of guided wave structural health monitoring systems15
A deep learning semantic segmentation network with attention mechanism for concrete crack detection15
Fault state recognition of wind turbine gearbox based on generalized multi-scale dynamic time warping15
Model-based damage identification with simulated transmittance deviations and deep learning classification15
Characterization of OFDR distributed optical fiber for crack monitoring considering fiber-coating interfacial slip14
A novel autonomous strategy for multi-bolt looseness detection using smart glove and Siamese double-path CapsNet14
Acoustic emission monitoring of corrosion in steel pipes using Lamb-type helical waves14
Influence of cable tension history on the monitoring of cable tension using magnetoelastic inductance method14
An optimized variational mode decomposition method and its application in vibration signal analysis of bearings14
A new acoustic emission damage localization method using synchrosqueezed wavelet transforms picker and time-order method14
Damage cross detection between bridges monitored within one cluster using the difference ratio of projected strain monitoring data14
Uncertainty quantification for impact location and force estimation in composite structures14
Automatic defect detection for ultrasonic wave propagation imaging method using spatio-temporal convolution neural networks14
Pitting corrosion prediction based on electromechanical impedance and convolutional neural networks14
Classification and regression-based convolutional neural network and long short-term memory configuration for bridge damage identification using long-term monitoring vibration data14
A feature learning-based method for impact load reconstruction and localization of the plate-rib assembled structure13
A bolt loosening detection method based on patch antenna with overlapping sub-patch13
Effect of propagation distance on acoustic emission of carbon fiber/epoxy composites13
Reweighted-Kurtogram with sub-bands rearranged and ensemble dual-tree complex wavelet packet transform for bearing fault diagnosis13
Interpretable convolutional sparse coding method of Lamb waves for damage identification and localization13
A novel multi-classifier information fusion based on Dempster–Shafer theory: application to vibration-based fault detection13
Examining the contribution of near real-time data for rapid seismic loss assessment of structures13
Research on early weak structural damage detection of aeroengine intershaft bearing based on acoustic emission technology12
An up-scaling temperature compensation framework for guided wave–based structural health monitoring in large composite structures12
Squared envelope sparsification via blind deconvolution and its application to railway axle bearing diagnostics12
Damage identification of bolt connection in steel truss structures by using sound signals12
Research on dynamic behavior and traffic management decision-making of suspension bridge after vortex-induced vibration event12
Dynamic feature evaluation on streaming acoustic emission data for adhesively bonded joints for composite wind turbine blade12
Sparse damage detection via the elastic net method using modal data12
Time-domain Markov chain Monte Carlo–based Bayesian damage detection of ballasted tracks using nonlinear ballast stiffness model12
Drive-by bridge damage detection using Mel-frequency cepstral coefficients and support vector machine12
A two-step computer vision-based framework for bolt loosening detection and its implementation on a smartphone application12
Condition-based structural health monitoring of offshore wind jacket structures: Opportunities, challenges, and perspectives12
A lightweight deep learning network based on knowledge distillation for applications of efficient crack segmentation on embedded devices12
Robust fault diagnosis of quayside container crane gearbox based on 2D image representation in frequency domain and CNN12
Structural deformation prediction model based on extreme learning machine algorithm and particle swarm optimization11
On statistic alignment for domain adaptation in structural health monitoring11
Minimum noise amplitude deconvolution and its application in repetitive impact detection11
Damage detection and characterization of a scaled model steel truss bridge using combined complete ensemble empirical mode decomposition with adaptive noise and multiple signal classification approach11
A novel vibration indicator to monitor gear natural fatigue pitting propagation11
Probabilistic cracking prediction via deep learned electrical tomography11
A three-stage online anomaly identification model for monitoring data in dams11
Multi-level damage diagnosis on stiffened composite panels based on a damage-uninformative digital twin11
Stereo-vision-based 3D concrete crack detection using adversarial learning with balanced ensemble discriminator networks11
Using digital image correlation to evaluate the bond between carbon fibre-reinforced polymers and timber11
Stress evaluation in seven-wire strands based on singular value feature of ultrasonic guided waves11
Acoustic emission diagnostics of corrosion monitoring in prestressed concrete using hidden Markov and semi-Markov models11
A general framework for supervised structural health monitoring and sensor output validation mitigating data imbalance with generative adversarial networks-generated high-dimensional features11
Vibration-based structural damage detection using 1-D convolutional neural network and transfer learning11
Crack damage monitoring for compressor blades based on acoustic emission with novel feature and hybridized feature selection11
Evaluation of machine learning techniques for structural health monitoring using ultrasonic guided waves under varying temperature conditions10
Blade crack detection using variational model decomposition and time-delayed feedback nonlinear tri-stable stochastic resonance10
A Machine learning-based approach to determining stress in rails10
Compatibility and challenges in machine learning approach for structural crack assessment10
Unsupervised dam anomaly detection with spatial–temporal variational autoencoder10
Monitoring internal corrosion in steel pipelines: a two-step helical guided wave approach for localization and quantification10
Heterogeneous structural responses recovery based on multi-modal deep learning10
Multi-output displacement health monitoring model for concrete gravity dam in severely cold region based on clustering of measured dam temperature field10
Vision-guided unmanned aerial system for rapid multiple-type damage detection and localization10
Intelligent fault diagnosis of rotating machinery using composite multivariate-based multi-scale symbolic dynamic entropy with multi-source monitoring data10
Nonlinear modulation with low-power sensor networks using undersampling10
A multiple-point monitoring model for concrete dam displacements based on correlated multiple-output support vector regression10
Improved damage detection in Pelton turbines using optimized condition indicators and data-driven techniques10
Hybrid artificial intelligence-based inference models for accurately predicting dam body displacements: A case study of the Fei Tsui dam10
Polynomial Chaos-Kriging metamodel for quantification of the debonding area in large wind turbine blades10
A Modulation Signal Bispectrum Enhanced Squared Envelope for the detection and diagnosis of compound epicyclic gear faults10
Defect detection in guided wave signals using nonlinear autoregressive exogenous method10
Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies10
Structural damage detection based on fundamental Bayesian two-stage model considering the modal parameters uncertainty10
An integrated condition monitoring scheme for health state identification of a multi-stage gearbox through Hurst exponent estimates10
Acoustic emission and moving window-improved kernel entropy component analysis for structural condition monitoring of hoisting machinery under various working conditions9
Development of a novel real-time AE source localisation technique using ANN for health monitoring of rail section: an experimental study9
Improved current injection pattern for the detection of delaminations in carbon fiber reinforced polymer plates using electrical impedance tomography9
Predicting material properties of concrete from ground-penetrating radar attributes9
Damage assessment of a titanium skin adhesively bonded to carbon fiber–reinforced plastic omega stringers using acoustic emission9
Bridge modal property identification based on asynchronous mobile sensing data9
Global–local model for three-dimensional guided wave scattering with application to rail flaw detection9
Monitoring of new and existing stainless-steel reinforced concrete structures by clad distributed optical fibre sensing9
An integrated approach for structural behavior characterization of the Gravina Bridge (Matera, Southern Italy)9
Interpreting the Lempel–Ziv complexity of acoustic emission signals for identifying damage modes in composite materials9
An alternative quantification of the value of information in structural health monitoring9
Precise damage shaping in self-sensing composites using electrical impedance tomography and genetic algorithms9
Long-term structural health monitoring for bridge based on back propagation neural network and long and short-term memory9
Damage localization with Lamb waves using dense convolutional sparse coding network9
A novel adaptive fault diagnosis algorithm for multi-machine equipment: application in bearing and diesel engine9
Damage detection with ultrasonic guided waves using machine learning and aggregated baselines9
Bridge pier scour level quantification based on output-only Kalman filtering9
Attention recurrent residual U-Net for predicting pixel-level crack widths in concrete surfaces9
Broadband nonlinear elastic wave modulation spectroscopy for damage detection in composites9
Restoration of missing structural health monitoring data using spatiotemporal graph attention networks9
Adaptive resize-residual deep neural network for fault diagnosis of rotating machinery9
HierMUD: Hierarchical multi-task unsupervised domain adaptation between bridges for drive-by damage diagnosis9
Anisotropy influence on guided wave scattering for composite structure monitoring9
Unsupervised deep learning method for bridge condition assessment based on intra-and inter-class probabilistic correlations of quasi-static responses9
Predictive information and maintenance optimization based on decision theory: a case study considering a welded joint in an offshore wind turbine support structure9
Structural health monitoring of inland navigation structures and ports: a review on developments and challenges9
Defect detection on the curved surface of a wind turbine blade using piezoelectric flexible line sensors9
Experimental study on combined effect of mechanical loads and corrosion using tube-packaged long-gauge fiber Bragg grating sensors9
Bayesian uncertainty quantification for guided-wave-based multidamage localization in plate-like structures using Gibbs sampling8
Bandwidth-aware adaptive chirp mode decomposition for railway bearing fault diagnosis8
Direct-write piezoelectric coating transducers in combination with discrete ceramic transducer and laser pulse excitation for ultrasonic impact damage detection on composite plates8
Nonlinear-Lamb-wave-based plastic damage detection assisted by topologically designed metamaterial filters8
Diagnosis of internal cracks in concrete using vibro-acoustic modulation and machine learning8
A new GW-based heteroscedastic Gaussian process method for online crack evaluation8
Application of nonlinear ultrasonic analysis for in situ monitoring of metal additive manufacturing8
Inspection interval optimization of aircraft landing gear component based on risk assessment using equivalent initial flaw size distribution method8
An adaptive variational mode extraction method based on multi-domain and multi-objective optimization for bearing fault diagnosis8
Distributed detection of internal cavities in concrete-filled steel tube arch bridge elements8
Separate modeling technique for deformation monitoring of concrete dams8
Condition identification of bolted connections using a virtual viscous damper8
Ultrasound tomography for health monitoring of carbon fibre–reinforced polymers using implanted nanocomposite sensor networks and enhanced reconstruction algorithm for the probabilistic inspection of 8
Online structural damage state identification of concrete arch dams under dynamic loads using a recursive TVARX approach8
A novel damage index integrating piezoelectric impedance and ultrasonic guided wave for damage monitoring of bolted joints8
Long-term guided wave structural health monitoring in an uncontrolled environment through long short-term principal component analysis8
Flexible, monolithic piezoelectric sensors for large-area structural impact monitoring via MUSIC-assisted machine learning8
Innovative synthetic data augmentation for dam crack detection, segmentation, and quantification8
Tunnel lining water leakage image Segmentation based on improved BlendMask8
An information fusion approach for increased reliability of condition monitoring With homogeneous and heterogeneous sensor systems8
Optimal sensor placement to detect ruptures in pipeline systems subject to uncertainty using an Adam-mutated genetic algorithm8
Probability-based diagnostic imaging with corrected weight distribution for damage detection of stiffened composite panel8
A diagnostic framework with a novel simulation data augmentation method for rail damages based on transfer learning8
Sparse wavenumber analysis of guided wave based on hybrid Lasso regression in composite laminates8
Understanding the interaction of the fundamental Lamb-wave modes with material discontinuity: finite element analysis and experimental validation7
Adhesive curing effect of bonded piezoelectric transducer on electromechanical impedance-based concrete structural damage detection7
A novel index for vibration-based damage detection technique in laminated composite plates under forced vibrations: experimental study7
Addressing practicalities in multivariate nonlinear regression for mitigating environmental and operational variations7
Development of an integrated sacrificial sensor for damage detection and monitoring in composite materials and adhesively bonded joints7
U2CrackNet: a deeper architecture with two-level nested U-structure for pavement crack detection7
Monitoring of self-healing in concrete with micro-capsules using a combination of air-coupled surface wave and computer-vision techniques7
Brillouin scattering spectrum-based crack measurement using distributed fiber optic sensing7
Multi-Bolt looseness detection using a new acoustic emission strategy7
All-phase fast Fourier transform and multiple cross-correlation analysis based on Geiger iteration for acoustic emission sources localization in complex metallic structures7
Comparative study of stator current-based and vibration-based methods for railway traction motor bearing cage fault diagnosis at high-speed condition7
Using a single sensor for bridge condition monitoring via moving embedded principal component analysis7
Spectral variational mode extraction and its application in fault detection of rolling bearing7
Structural health monitoring data cleaning based on Bayesian robust tensor learning7
Reliability analysis of complex structures based on Bayesian inference7
An MPPCA-based approach for anomaly detection of structures under multiple operational conditions and missing data7
Damage quantification using transfer component analysis combined with Gaussian process regression7
Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism7
Bridge inspection component registration for damage evolution7
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