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 2022-05-01 to 2026-05-01.)
ArticleCitations
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples89
Design and experimental investigation of a nondestructive detector for bolt loosening length of railway track fasteners87
20 years of monitoring of a steel jacket offshore platform: variability of environmental and modal parameters83
Analysis of the galleries cracking causes in the backfill area of pumped storage power station based on monitoring and numerical simulation: a case study of Hohhot upper reservoir82
Bridge damage detection using unsupervised learning with vehicle-induced vibrations74
Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study72
Localized corrosion monitoring and quantitative evaluation of steel wires in the splay saddle using distributed optical fiber sensing technology72
Vibration-based monitoring of a super tall building with TMD during typhoon Ampil68
A novel edge intelligence application model with lightweight network and antinoise ability for bearing fault diagnosis67
Extracting and identifying essential characteristics of gear pitting and cracks with consideration of fault mechanisms64
Laboratory and field experiment validations on the use of hydraulic transients for estimating buried water pipeline deterioration60
Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference57
Bayesian system identification considering the spatial correlation of distributed loads52
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models51
Semantic segmentation model for concrete cracks based on parallel Swin-CNNs framework51
Multi-level damage diagnosis on stiffened composite panels based on a damage-uninformative digital twin50
Imaging cracks in orthotropic steel decks based on guided wave and variational Bayesian robust principal component analysis50
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach50
Potential and limitations of NARX for defect detection in guided wave signals47
Dynamical modeling of spur gear with pitting based on image processing tooth surface47
Entire loosening stage monitoring of bolted joints via nonlinear electro-mechanical impedance spectroscopy46
Wind turbine gearbox fault diagnosis via adaptive IMFogram45
Multi-modal model updating of miter gates on navigational locks43
Bridge damage identification using unsupervised deep learning through variational autoencoders41
Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM41
SM-YOLO-HybridBridge: a lightweight deep learning model for surface defect detection and structural health monitoring in hybrid wooden–steel bridges40
U2CrackNet: a deeper architecture with two-level nested U-structure for pavement crack detection40
A gear fault diagnosis method based on auditory cortical frequency-domain response in real workshop noise environment39
A novel fault evaluation method based on nonlinear vibration features and Euclidean distance measurement for grid-like structures39
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: a new full-scale dataset for structural health monitoring38
BI-Sandwich: a cross-domain model for fault diagnosis of aircraft engine main shaft bearings38
Multimodal feature fusion for detecting debonding in FRP-reinforced concrete interfaces using dual-branch CNN38
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods38
Multivariate variational mode decomposition and generalized composite multiscale permutation entropy for multichannel fault diagnosis of hoisting machinery system38
Heterogeneous structural responses recovery based on multi-modal deep learning38
A semisupervised fault frequency analysis method for rotating machinery based on restricted self-attention network36
Subdomain cointegration method for early damage warning of bridges considering nonlinear and nonstationary modal variabilities36
Ensemble ordinal pattern mode decomposition based on ICS2 blind filter for rotating machinery fault diagnosis36
Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring36
Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients36
Bridge inspection component registration for damage evolution36
A novel adaptive boosting algorithm with distance-based weighted least square support vector machine and filter factor for carbon fiber reinforced polymer multi-damage classification35
Cubic spline interpolation-based refined composite multiscale dispersion entropy and its application to bearing fault identification35
A diagnostic method for impeller wear fault in slurry pumps based on Theil entropy-impact energy fusion and linear frequency modulation optimization35
Hierarchical verification and validation in a forward model-driven structural health monitoring strategy34
Time series analysis and sparse sensor network-based impact monitoring for aircraft complex structures34
A lightweight deep learning network based on knowledge distillation for applications of efficient crack segmentation on embedded devices33
Interval prediction method for dynamic zoning of displacements in super-high arch dam under significant water level fluctuations33
Temperature compensation to guided wave-based monitoring of bolt loosening using an attention-based multi-task network33
Rolling bearing signal monitoring and diagnosis based on global arc length entropy32
Intelligent fault diagnosis of rotating machinery under variable working conditions based on deep transfer learning with fusion of local and global time–frequency features32
A grid-structured intelligent coating sensor system for directional crack monitoring in steel bridges31
Monitoring data motivated health condition assessment of cement concrete pavements in field based on FBG sensing technology31
A new collaborative lifelong learning framework based on channel distillation and pseudo-feature replay for class-incremental bearing fault diagnosis31
A wayside monitoring system for the estimation of the rail neutral temperature31
Field and experimental evaluation of a probabilistic-based health indicator for efficient road health monitoring via FBG sensor network30
Composite laminate damage identification via Gabor-based anisotropic filter enhanced attention ConvLSTM network30
Prototype-assisted multiscale graph representation learning-based mechanical fault detection method under complex operating conditions30
Crack detection based on deep learning: a method for evaluating the object detection networks considering the random fractal of crack30
Adaptive fault components extraction based on physically interpretable optimized weight time–frequency matrix index and its applications in rotating machinery fault diagnosis29
Long-term creep monitoring of composite wing leading edge using embedded fiber Bragg grating29
An unsupervised multiclass fault diagnosis method and application based on affine-invariant Riemannian metric and spectral clustering29
UAV-based panoramic imaging for automated bughole segmentation and quantitative color-difference assessment of concrete bridge piers28
Quantifying the extent of local damage of a 60-year-old prestressed concrete bridge: A hybrid SHM approach28
Leakage aperture identification of natural gas pipeline based on compressed acquisition and DSAE28
Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method28
A remaining useful life prediction approach for ball bearing by acoustic emission signal and physics-informed neural network28
Towards high-precision data modeling of SHM measurements using an improved sparse Bayesian learning scheme with strong generalization ability28
An integrated deep neural network model combining 1D CNN and LSTM for structural health monitoring utilizing multisensor time-series data27
Physically meaningful uncertainty quantification in probabilistic wind turbine power curve models as a damage-sensitive feature27
Development of a novel real-time AE source localisation technique using ANN for health monitoring of rail section: an experimental study27
Addressing practicalities in multivariate nonlinear regression for mitigating environmental and operational variations27
Condition assessment of cable-stayed bridges based on heterogeneous data correlation mining using multichannel spatiotemporal graph convolutional network26
Advancing measurement of zero-group-velocity Lamb waves using PVDF-TrFE transducers: first data and application to in situ health monitoring of multilayer bonded structures26
Test accuracy requirements for optimal decision-making in management of post-tensioned concrete bridges26
Automatic identification of early strength of high-performance concrete based on micro-impedance sensing system and deep learning method26
Absolute maximum slope difference method for NPW real-time localization of leakage in pipelines26
Distributed detection of internal cavities in concrete-filled steel tube arch bridge elements25
Deep-learning-based interferometric synthetic aperture radar time-series analysis for the monitoring and prediction of dam safety25
Interpretable Siamese dual attention enhancement transfer compound diagnostic model for unbalanced samples25
Similarity relationship and principal component feature-considered deformation safety monitoring for the observation point group of in-service ultra-high arch dams25
Novel approaches of synchronous averaging of gear and bearing vibrations25
An in situ prepared fiber-based piezoresistive film for ultrasonic wave detection on nonplanar carbon fiber-reinforced composites25
Distributed fiber optic strain sensing for crack detection with Brillouin shift spectrum back analysis25
Dynamic displacement estimation of railway beam bridge based on integration of strain and acceleration25
A credible granular feature contrastive learning network for fault diagnosis with semi-supervised domain generalization24
Experimental and numerical investigations on the acoustoelastic effect in hyperelastic waveguides24
Nanocomposite sensors with indium tin oxide nanowires in a polyvinyl butyral matrix for crack detection in structural health monitoring24
MDEA-Net: multisource disentangled expert adaptation network for cross-domain bearing fault diagnosis24
Damage diagnosis of plates and shells through modal parameters reconstruction using inverse finite-element method24
Adaptive Autoregressive Modelling Based Structural Health Monitoring of RC Beam-Column Joint Subjected to Shock Loading24
Regional-scale bridge health monitoring: survey of current methods and roadmap for future opportunities under changing climate23
A value-of-information-based optimal sensor placement design framework for cost-effective structural health monitoring (with application to miter gate monitoring)22
Spatial electric potential distributions and damage mapping in 3D carbon fiber/epoxy angle-interlock woven composites with different current directions22
Modeling and designing of a phased array comprising piezoelectric stack transducer for ultrasonic Lamb wave-based damage detection22
Rolling bearings fault diagnosis under various loads conditions based on GWJO-VMD-MAFCNN22
A framework for the performance evaluation of reconfigurable ultrasonic sparse array networks21
A semi-supervised meta-learning framework with multi-soft labels and cosine similarity for few-shot cross-domain fault diagnosis21
Compound fault diagnosis method for rolling bearings based on enhanced MED and adaptive periodized symplectic geometry mode decomposition21
A hybrid metaheuristic framework for precision delamination detection in composite laminates21
Tunnel lining water leakage image Segmentation based on improved BlendMask21
Dynamic characteristics analysis and the identification signal of the horizontal tail drive shaft system with the ballistic impact damage of a helicopter21
A multiscale inversion algorithm for engineering inspection using GPR data21
Self-supervised learning for train bearing fault diagnosis based on time–frequency dual domain prediction21
A novel data-driven bridge monitoring data prediction framework using improved intelligent optimization-assisted deep learning20
Physics-guided neural networks applied in rotor unbalance problems20
Embeddable elasto-magnetic sensor-based residual tension estimation method of ground anchors for slope stability monitoring using irreversibility of magnetic permeability under various loading conditi20
Missing data estimation method for durability survey of reinforced concrete structures20
Flexible iterative generalized demodulation filtering for the fault diagnosis of rotating machinery under nonstationary conditions20
Wheel flat detection on railway vehicles using the angular domain synchronous averaging method: an experimental study20
A method combining dynamic path matching with multipath adaptive drift Lévy stable motion for performance degradation prediction20
Reliability-based metrics for structural health monitoring information quality assessment20
Deformation measurement of aero-engine rotating twisted blade based on multi-vision overlapping area feature registration method20
Robust correlation mapping of train-induced stresses for high-speed railway bridge using convolutional denoising autoencoder19
Bearing fault detection system based on a deep diffusion model19
Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor searching19
Deep CNN-based semi-supervised learning approach for identifying and segmenting corrosion in hydraulic steel and water resources infrastructure19
A novel methodology for quantitative identification of pipeline leakage and negative pressure wave velocity19
Enhanced hierarchical symbolic sample entropy: Efficient tool for fault diagnosis of rotating machinery19
Segmented rotor blades: advancing damage detection in wind turbine bolted joints via low-/high-frequency sensing and data fusion19
Semi-Markov process-driven maintenance scheduling for Tainter gate system considering multiple limit states19
DWAE-LIP with joint-TF loss: a new fault extraction method for rolling bearings under strong noise19
Research on piston aircraft engine fault diagnosis based on multisource information fusion by graph convolutional network19
Robust prognostics of impacted composite structures using an adaptive hidden semi-Markov model19
Fatigue assessment of bridges using interacting filtering approach with sub-structured predictor model based on current health19
ADACTA—Advanced component analysis technique for damage detection19
Replay-free evolutionary classifier for few-shot continuous fault diagnosis of wind turbine19
Anomaly characterization for the condition monitoring of rotating shafts exploiting data fusion and explainable convolutional neural networks18
Underwater bolted flange looseness detection using percussion-induced sound and Feature-reduced Multi-ROCKET model18
An adaptive dynamic cooperative multisource domain adaptation network for rotating machinery fault recognition18
High-fidelity fault signature extraction of rolling bearings via nonconvex regularized sparse representation enhanced by flexible analytical wavelet transform18
Experimental validation of automated OMA and mode tracking for structural health monitoring of transmission towers18
Generalized zero-shot bearing compound fault diagnosis based on reserved gate pre-classifier and physical information semantics18
Model updating method for offshore jacket platforms using improved DNN and OOA considering non-uniform corrosion and structural responses18
Void damage detection of rubber bearings in bridge structures under laboratory conditions using the active sensing method and BO-XGBoost algorithm18
Intelligent defect location of a U-shaped boom using helical guided waves18
Adaptive dynamic mode decomposition and its application in rolling bearing compound fault diagnosis18
Physics-guided neural network for structural health monitoring with lamb waves through boundary reflection elimination17
A bearing fault diagnosis method based on M-SSCNN and M-LR attention mechanism17
Semi-supervised learning for efficient water leakage segmentation in tunnel infrastructure17
Deep learning-based concrete defects classification and detection using semantic segmentation17
A time-saving fault diagnosis using simplified fast GAN and triple-type data transfer learning17
Damage identification in structures using dynamic mode decomposition for vibration analysis of low-resolution videos17
An intelligent fault diagnosis method of rolling bearing based on expansion and transfer of single working condition data under small samples17
Vision-guided crack identification and size quantification framework for dam underwater concrete structures17
A robust entropy-based sparsity measure for health monitoring of rotating machinery17
Hierarchical Bayesian detection of impulses in Tainter valve machinery systems under uncertainty17
A comparison of ultrasonic temperature monitoring using machine learning and physics-based methods for high-cycle thermal fatigue monitoring17
SAR-Nbeats-based temperature interpretation and prediction of InSAR time-series deformations for bridges17
A likelihood-free Bayesian approach for characterisation of multiple delaminations in laminated composite beams17
Identification of damaged member in a truss structure using acoustic emission technique aided by SVM17
Multi-view generative synergistic optimization agent for few-shot machinery fault diagnosis under limited labeled data17
Research on structural health monitoring database construction and intelligent diagnosis method based on a CNN–LSTM integrated model17
On cross-attention-based graph neural networks for fault diagnosis using multi-sensor measurement17
Adaptive wind turbine blade surface defect detection based on deep learning and transfer learning17
Fatigue damage analysis of a Kaplan turbine model operating at off-design and transient conditions17
Multibolt looseness monitoring of steel structure based on multitask active sensing method and substructure cross-domain transfer learning17
Preloading force monitoring and looseness identification of bolt connection using washer-type buckypaper sensor17
A comprehensive study of techniques utilized for structural health monitoring of oil and gas pipelines17
Automatic pipeline fault detection using one-dimensional convolutional bidirectional long short-term memory networks with wide first-layer kernels16
Tensile and vibration fatigue monitoring of composite laminate bolted joints with local enhancement using buckypaper sensors16
New approach for enhanced damage identification in frame structures with limited data: leveraging integrated convolutional neural network model with transfer learning16
Multi-type damage localization using the scattering coefficient-based RAPID algorithm with damage indexes separation and imaging fusion16
Bayesian data-driven framework for structural health monitoring of composite structures under limited experimental data16
A study on wind turbine gearbox fault diagnosis and interpretability using multisource information fusion methods16
Enhanced signal processing for MFL-based steel pipe defect detection combining ICEEMDAN with multi-feature-GA-WTD method16
Neural extended Kalman filters for learning and predicting dynamics of structural systems16
Global-local optimization layout method for active piezoelectric sensor driven by structural critical areas16
Pattern recognition in electromechanical impedance spectroscopy damage detection of adhesive joints using multidimensional scaling16
Blade crack detection based on domain adaptation and autoencoder of multidimensional vibro-acoustic feature fusion16
Simulation of damage-induced wave propagation in composites using knowledge-embedded generative adversarial networks for structural health monitoring16
MFTrans-DANN: unsupervised deep transfer learning model for noise-robust cross-domain diagnosis of rolling bearings16
Semi-Supervised Transfer Graph Representation Learning with Few-Shot Adaptation for gearbox diagnostics under extraneous transient noise16
An optimal candidate fault frequency periodicity index optimization-gram for bearing fault diagnosis16
Feature map field fusion of guided wave vibrometer data for increased fault localization capability16
Full-field expansion and damage detection from sparse measurements using physics-informed variational autoencoders16
GBL-MSS: a graph broad learning method for rolling bearing fault diagnosis under strong noise interference15
Experimental and numerical investigation on strain-based structural health monitoring of impacted composite stiffened panels15
An intelligent monitoring framework for crack anomaly detection and early warning in concrete bridges using GAF-based classification and GRU prediction15
SHM-informed life-cycle intelligent maintenance of fatigue-sensitive detail using Bayesian forecasting and Markov decision process15
Bolt load looseness measurement for slip-critical blind bolt by ultrasonic technique: a feasibility study with calibration and experimental verification15
Enhancing automated health monitoring of road infrastructure through a hierarchical robust deep learning approach15
A geometrical morphology-enhanced computer vision approach for structural health assessment15
Kolmogorov-Arnold networks for industrial machine health monitoring with continual learning capability using time-series vibration data15
A novel feature extraction method based on symbol-scale diversity entropy and its application for fault diagnosis of rotary machines15
A multitask framework with self-attention mechanism for simultaneous detection of axial pressure, shear deformation, and rupture damage in rubber bearings15
Physics-guided spatiotemporal learning with invariant graph for cross-domain structural damage identification15
Unsupervised deep learning method for bridge condition assessment based on intra-and inter-class probabilistic correlations of quasi-static responses15
Detecting delamination of concrete cover using movable PZT sensors and baseline-free electromechanical impedance techniques15
A fault diagnosis method with continuous frequency-band indicator embedding and class-aware interpretable feature weighting14
Spatiotemporal graph neural diagnostics for rotating machinery: a single-sensor multidimensional fusion framework14
Online health monitoring of rotating machine elements using statistical spectral distances14
Adaptive and cross-attention Vision Transformer-based transfer network for elevator fault diagnosis toward unbalanced samples14
Compound damage detection using wavelet transform and deep neural network trained on healthy and single damage states: Validation on a laboratory-scale offshore jacket model14
Locating cracks in smart TRC elements based on the TDR concept14
Integrating the maximum mean discrepancy metric with time–frequency enhanced convolutional neural networks for fault diagnosis14
A dual-sensor AE localization method for damaged steel tendon in prestressed concrete girders using waveguide rods14
Weighted plane deformation modeling and crack analysis for high core-wall rockfill dams14
Detecting pre-existing HDPE double-wall corrugated drainage pipe disconnection with fiber-optic distributed acoustic sensing14
Accelerating Bayesian inference of structural damage detection based on physics-guided CNN and zero-shot transfer learning14
Comparison of neural networks based on accuracy and robustness in identifying impact location for structural health monitoring applications14
Quantitative blade damage detection based on multisource domain and multistage joint transfer14
Intelligent perception and early warning for deterioration of prestressed concrete box-girder bridges via the variation mining of mapping from vehicle load to structural displacement14
Parameter-adaptive CYCBD β blind deconvolution for bearing fault diagnosis of a reduction gearbox 14
Influence line theory supported single sensor-based strain feature for bridge defect diagnosis14
An interpretable algorithm unrolling network inspired by group-based sparse coding for mechanical fault diagnosis14
Track acoustic signal compression method based on sparse decomposition and M 2to1 -guided resampling14
Research on multimodal techniques for arc detection in railway systems with limited data14
A novel acoustic emission sensor design and modeling method for monitoring the status of high-speed train bearings14
Towards smart monitoring of systems: an integrated non-parametric Bayesian KDE and LSTM approach for anomaly detection of rotating machinery under uncertainties14
A novel high-precision lightweight concrete bridge crack image recognition method based on knowledge distillation14
Damage monitoring of glass/epoxy-curved laminates with different stacking sequences using acoustic emission13
Detection of cavities and leakage near buried pipelines using transmission lines considering influence range of electromagnetic waves13
A deep learning-empowered data anomaly detection method based on a symmetric dot pattern for bridge monitoring data13
Conditional disentangled representation augmentation network for imbalanced domain generalization fault diagnosis of rotating machinery13
Interpretable research on the health monitoring network of prefabricated building beam–column joints13
An improved approach for compressive sensing of vibration signals considering spectral leakage effect13
A novel Lamb wave-based multi-damage dataset construction and quantification algorithm under the framework of multi-task deep learning13
Attention-enhanced spatiotemporal deep learning-based automatic warning model with uncertainty estimation in dam safety13
Optimal tuning of three deep learning methods with signal processing and anomaly detection for multi-class damage detection of a large-scale bridge13
A lightweight and real-time deep learning approach for pipeline bolt loosening detection using active guided waves13
Adaptive resize-residual deep neural network for fault diagnosis of rotating machinery13
Acoustic monitoring of wind turbine blades using wavelet packet analysis and 1D convolutional neural networks12
Optical phase mode analysis method for pipeline bolt looseness identification using distributed optical fiber acoustic sensing12
Turning aeronautical brackets into smart monitoring devices: integration of sensors and load identification algorithms12
A semi-supervised learning framework fusing multi-sensor visual features for ship propulsion shafting fault diagnosis12
Identification of bridge influence line and multiple-vehicle loads based on physics-informed neural networks12
Probabilistic damage analysis of rebar corrosion in recycled aggregate concrete using sideband intensity-based nonlinear ultrasonic technique12
Incipient Fault Detection of Helical Gearbox Based on Variational Mode Decomposition and Time Synchronous Averaging12
Fisher embedding shift-invariant dictionary learning for weak feature recognition in bearing health monitoring12
Automated labeling and abnormal detection based on kernel cluster local outlier factor for machinery health monitoring12
Twin contrastive learning based on negative sample attention and its application in rolling bearing fault diagnosis12
SHM system development for molten salt test loop12
Fault diagnosis method for high-speed train axlebox bearings based on the joint driving of bearing dynamics simulation and experimental data12
Pitting corrosion diagnostics and prognostics for miter gates using multiscale simulation and image inspection data12
A fault source localization method for aircraft engine casing with dual-sensors based on acoustic emission12
Damage location diagnosis of frame structure based on wavelet denoising and convolution neural network implanted with Inception module and LSTM12
An unsupervised context-free forecasting method for structural health monitoring by generative adversarial networks with progressive growing and self-attention12
Data quality evaluation for bridge structural health monitoring based on deep learning and frequency-domain information12
Meta-learning-based hybrid LSTM-Transformer framework for cross-condition small sample fault diagnosis12
Nondestructive detection for carbon fiber-reinforced polymer pipes based on capacitive coupling principle and auto-balancing impedance measurement12
Reliability analysis of complex structures based on Bayesian inference12
ESPKARN: a multichannel framework for bearing fault diagnosis in the presence of imbalanced samples12
Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network12
A hybrid attention hierarchical network-based extreme event detection method for structural health monitoring12
An output-only damage identification method based on reinforcement-aided evolutionary algorithm and heterogeneous response reconstruction12
Time-frequency analysis-based impulse feature extraction method for quantitative evaluation of milling tool wear11
An unsupervised transfer network with adaptive input and dynamic channel pruning for train axle bearing fault diagnosis11
Incremental transfer learning for monitoring fatigue crack sizes in welded joints based on strain variations11
Feature pyramid network with self-guided attention refinement module for crack segmentation11
0.060765981674194