Structural Health Monitoring-An International Journal

Papers
(The median citation count of Structural Health Monitoring-An International Journal is 2. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Model uncertainty quantification of a degradation model of miter gates using normalizing flow-based likelihood-free inference92
Multimodal feature fusion for detecting debonding in FRP-reinforced concrete interfaces using dual-branch CNN91
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models86
Percussion-based loosening detection method for multi-bolt structure using convolutional neural network DenseNet-CBAM84
U 2 CrackNet: a deeper architecture with two-level nested U-structure for pavement crack detection77
Bridge damage detection using unsupervised learning with vehicle-induced vibrations75
Multivariate variational mode decomposition and generalized composite multiscale permutation entropy for multichannel fault diagnosis of hoisting machinery system69
Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study61
Localized corrosion monitoring and quantitative evaluation of steel wires in the splay saddle using distributed optical fiber sensing technology58
Semantic segmentation model for concrete cracks based on parallel Swin-CNNs framework57
A novel fault evaluation method based on nonlinear vibration features and Euclidean distance measurement for grid-like structures57
Dynamical modeling of spur gear with pitting based on image processing tooth surface53
Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients53
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 reservoir50
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods49
Entire loosening stage monitoring of bolted joints via nonlinear electro-mechanical impedance spectroscopy48
An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples45
Potential and limitations of NARX for defect detection in guided wave signals43
Bridge damage identification using unsupervised deep learning through variational autoencoders42
Imaging cracks in orthotropic steel decks based on guided wave and variational Bayesian robust principal component analysis41
SM-YOLO-HybridBridge: a lightweight deep learning model for surface defect detection and structural health monitoring in hybrid wooden–steel bridges41
Design and experimental investigation of a nondestructive detector for bolt loosening length of railway track fasteners40
A novel edge intelligence application model with lightweight network and antinoise ability for bearing fault diagnosis39
Extracting and identifying essential characteristics of gear pitting and cracks with consideration of fault mechanisms39
20 years of monitoring of a steel jacket offshore platform: variability of environmental and modal parameters39
A gear fault diagnosis method based on auditory cortical frequency-domain response in real workshop noise environment39
Bayesian system identification considering the spatial correlation of distributed loads38
Vibration-based monitoring of a super tall building with TMD during typhoon Ampil38
BI-Sandwich: a cross-domain model for fault diagnosis of aircraft engine main shaft bearings38
Multi-modal model updating of miter gates on navigational locks38
Physics-informed deep learning for scattered full wavefield reconstruction from a sparse set of sensor data for impact diagnosis in structural health monitoring37
Few-shot fault diagnosis of transmission components under domain shift based on meta-transfer relation network37
Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: a new full-scale dataset for structural health monitoring37
Reliability-constrained maintenance optimization for safety-critical wind turbine bearings with distribution-free predictive uncertainty37
Wind turbine gearbox fault diagnosis via adaptive IMFogram36
Multi-level damage diagnosis on stiffened composite panels based on a damage-uninformative digital twin36
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach36
DW-JDA: An unsupervised cross-domain dynamic weighted joint distribution adaptation network for high-speed train bearing fault diagnosis35
Field and experimental evaluation of a probabilistic-based health indicator for efficient road health monitoring via FBG sensor network35
Rolling bearing signal monitoring and diagnosis based on global arc length entropy33
Subdomain cointegration method for early damage warning of bridges considering nonlinear and nonstationary modal variabilities33
A semisupervised fault frequency analysis method for rotating machinery based on restricted self-attention network33
Long-term creep monitoring of composite wing leading edge using embedded fiber Bragg grating32
Prototype-assisted multiscale graph representation learning-based mechanical fault detection method under complex operating conditions32
A remaining useful life prediction approach for ball bearing by acoustic emission signal and physics-informed neural network32
An unsupervised multiclass fault diagnosis method and application based on affine-invariant Riemannian metric and spectral clustering32
Hierarchical verification and validation in a forward model-driven structural health monitoring strategy31
Intelligent fault diagnosis of rotating machinery under variable working conditions based on deep transfer learning with fusion of local and global time–frequency features31
Leakage aperture identification of natural gas pipeline based on compressed acquisition and DSAE30
Towards high-precision data modeling of SHM measurements using an improved sparse Bayesian learning scheme with strong generalization ability29
Physically meaningful uncertainty quantification in probabilistic wind turbine power curve models as a damage-sensitive feature29
A lightweight deep learning network based on knowledge distillation for applications of efficient crack segmentation on embedded devices29
A wayside monitoring system for the estimation of the rail neutral temperature28
A new collaborative lifelong learning framework based on channel distillation and pseudo-feature replay for class-incremental bearing fault diagnosis28
A diagnostic method for impeller wear fault in slurry pumps based on Theil entropy-impact energy fusion and linear frequency modulation optimization28
Monitoring data motivated health condition assessment of cement concrete pavements in field based on FBG sensing technology28
UAV-based panoramic imaging for automated bughole segmentation and quantitative color-difference assessment of concrete bridge piers28
A grid-structured intelligent coating sensor system for directional crack monitoring in steel bridges27
Ensemble ordinal pattern mode decomposition based on ICS2 blind filter for rotating machinery fault diagnosis27
Composite laminate damage identification via Gabor-based anisotropic filter enhanced attention ConvLSTM network27
Time series analysis and sparse sensor network-based impact monitoring for aircraft complex structures26
Addressing practicalities in multivariate nonlinear regression for mitigating environmental and operational variations26
Cubic spline interpolation-based refined composite multiscale dispersion entropy and its application to bearing fault identification26
Temperature compensation to guided wave-based monitoring of bolt loosening using an attention-based multi-task network26
Crack detection based on deep learning: a method for evaluating the object detection networks considering the random fractal of crack26
Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method26
Development of a novel real-time AE source localisation technique using ANN for health monitoring of rail section: an experimental study26
An integrated deep neural network model combining 1D CNN and LSTM for structural health monitoring utilizing multisensor time-series data25
Crack monitoring of short carbon fiber reinforced polymer-matrix composites based on the double-layer capacitance effect25
Interval prediction method for dynamic zoning of displacements in super-high arch dam under significant water level fluctuations25
Adaptive fault components extraction based on physically interpretable optimized weight time–frequency matrix index and its applications in rotating machinery fault diagnosis25
Toward digital twin-enabled real-time structural damage detection via POD-assisted Bayesian estimation24
Multiscale entropy and supervised manifold mapping for leak diagnosis in pipeline structural health monitoring24
A value-of-information-based optimal sensor placement design framework for cost-effective structural health monitoring (with application to miter gate monitoring)23
Similarity relationship and principal component feature-considered deformation safety monitoring for the observation point group of in-service ultra-high arch dams23
Acoustic emission-based damage mechanism identification and warning for 3D-printed patch-reinforced scarf joints in segmented composite wind turbine blades23
Dynamic displacement estimation of railway beam bridge based on integration of strain and acceleration22
Nanocomposite sensors with indium tin oxide nanowires in a polyvinyl butyral matrix for crack detection in structural health monitoring22
Deep-learning-based interferometric synthetic aperture radar time-series analysis for the monitoring and prediction of dam safety22
Automatic identification of early strength of high-performance concrete based on micro-impedance sensing system and deep learning method22
A credible granular feature contrastive learning network for fault diagnosis with semi-supervised domain generalization22
An in situ prepared fiber-based piezoresistive film for ultrasonic wave detection on nonplanar carbon fiber-reinforced composites22
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
Interpretable Siamese dual attention enhancement transfer compound diagnostic model for unbalanced samples21
Novel approaches of synchronous averaging of gear and bearing vibrations21
Condition assessment of cable-stayed bridges based on heterogeneous data correlation mining using multichannel spatiotemporal graph convolutional network21
Experimental and numerical investigations on the acoustoelastic effect in hyperelastic waveguides21
MDEA-Net: multisource disentangled expert adaptation network for cross-domain bearing fault diagnosis21
Test accuracy requirements for optimal decision-making in management of post-tensioned concrete bridges21
Self-supervised learning for train bearing fault diagnosis based on time–frequency dual domain prediction20
DWAE-LIP with joint-TF loss: a new fault extraction method for rolling bearings under strong noise20
Distributed fiber optic strain sensing for crack detection with Brillouin shift spectrum back analysis20
Dynamic characteristics analysis and the identification signal of the horizontal tail drive shaft system with the ballistic impact damage of a helicopter20
Regional-scale bridge health monitoring: survey of current methods and roadmap for future opportunities under changing climate20
Compound fault diagnosis method for rolling bearings based on enhanced MED and adaptive periodized symplectic geometry mode decomposition20
Absolute maximum slope difference method for NPW real-time localization of leakage in pipelines20
Damage diagnosis of plates and shells through modal parameters reconstruction using inverse finite-element method20
A hybrid metaheuristic framework for precision delamination detection in composite laminates20
Advancing measurement of zero-group-velocity Lamb waves using PVDF-TrFE transducers: first data and application to in situ health monitoring of multilayer bonded structures20
Spatial electric potential distributions and damage mapping in 3D carbon fiber/epoxy angle-interlock woven composites with different current directions20
A method combining dynamic path matching with multipath adaptive drift Lévy stable motion for performance degradation prediction19
Model updating method for offshore jacket platforms using improved DNN and OOA considering non-uniform corrosion and structural responses19
Flexible iterative generalized demodulation filtering for the fault diagnosis of rotating machinery under nonstationary conditions19
Missing data estimation method for durability survey of reinforced concrete structures19
Segmented rotor blades: advancing damage detection in wind turbine bolted joints via low-/high-frequency sensing and data fusion19
Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor searching19
Enhanced hierarchical symbolic sample entropy: Efficient tool for fault diagnosis of rotating machinery19
Anomaly characterization for the condition monitoring of rotating shafts exploiting data fusion and explainable convolutional neural networks19
A novel data-driven bridge monitoring data prediction framework using improved intelligent optimization-assisted deep learning19
Physics-guided neural networks applied in rotor unbalance problems19
Fatigue assessment of bridges using interacting filtering approach with sub-structured predictor model based on current health18
Experimental validation of automated OMA and mode tracking for structural health monitoring of transmission towers18
Robust prognostics of impacted composite structures using an adaptive hidden semi-Markov model18
Embeddable elasto-magnetic sensor-based residual tension estimation method of ground anchors for slope stability monitoring using irreversibility of magnetic permeability under various loading conditi18
Reliability-based metrics for structural health monitoring information quality assessment18
Intelligent defect location of a U-shaped boom using helical guided waves18
Bearing fault detection system based on a deep diffusion model18
A novel methodology for quantitative identification of pipeline leakage and negative pressure wave velocity18
Deformation measurement of aero-engine rotating twisted blade based on multi-vision overlapping area feature registration method18
A framework for the performance evaluation of reconfigurable ultrasonic sparse array networks18
Research on piston aircraft engine fault diagnosis based on multisource information fusion by graph convolutional network18
A semi-supervised meta-learning framework with multi-soft labels and cosine similarity for few-shot cross-domain fault diagnosis18
Semi-Markov process-driven maintenance scheduling for Tainter gate system considering multiple limit states18
Wheel flat detection on railway vehicles using the angular domain synchronous averaging method: an experimental study18
ADACTA—Advanced component analysis technique for damage detection18
A robust entropy-based sparsity measure for health monitoring of rotating machinery17
High-fidelity fault signature extraction of rolling bearings via nonconvex regularized sparse representation enhanced by flexible analytical wavelet transform17
Physics-informed multimodal large model for machine fault diagnosis with dynamic vision17
An integrated AR-CNN-LSTM method for missing data repair in rockfill dam deformation17
An adaptive dynamic cooperative multisource domain adaptation network for rotating machinery fault recognition17
MFTrans-DANN: unsupervised deep transfer learning model for noise-robust cross-domain diagnosis of rolling bearings17
Generalized zero-shot bearing compound fault diagnosis based on reserved gate pre-classifier and physical information semantics17
Damage diagnosis of bridge structures using deep learning strategies: A hybrid neural networks practical tool17
A multiscale inversion algorithm for engineering inspection using GPR data17
Replay-free evolutionary classifier for few-shot continuous fault diagnosis of wind turbine17
Digital twin-driven dual-stage domain adaptation feature augmentation method for fault diagnosis under imbalanced samples17
A study on wind turbine gearbox fault diagnosis and interpretability using multisource information fusion methods17
Adaptive wind turbine blade surface defect detection based on deep learning and transfer learning17
SAR-Nbeats-based temperature interpretation and prediction of InSAR time-series deformations for bridges17
Void damage detection of rubber bearings in bridge structures under laboratory conditions using the active sensing method and BO-XGBoost algorithm17
Underwater bolted flange looseness detection using percussion-induced sound and Feature-reduced Multi-ROCKET model17
Deep CNN-based semi-supervised learning approach for identifying and segmenting corrosion in hydraulic steel and water resources infrastructure17
Research on structural health monitoring database construction and intelligent diagnosis method based on a CNN–LSTM integrated model17
Multi-view generative synergistic optimization agent for few-shot machinery fault diagnosis under limited labeled data17
New approach for enhanced damage identification in frame structures with limited data: leveraging integrated convolutional neural network model with transfer learning17
Hierarchical Bayesian detection of impulses in Tainter valve machinery systems under uncertainty16
Simulation of damage-induced wave propagation in composites using knowledge-embedded generative adversarial networks for structural health monitoring16
A likelihood-free Bayesian approach for characterisation of multiple delaminations in laminated composite beams16
Preloading force monitoring and looseness identification of bolt connection using washer-type buckypaper sensor16
Semi-supervised learning for efficient water leakage segmentation in tunnel infrastructure16
Enhanced signal processing for MFL-based steel pipe defect detection combining ICEEMDAN with multi-feature-GA-WTD method16
A time-saving fault diagnosis using simplified fast GAN and triple-type data transfer learning16
Tensile and vibration fatigue monitoring of composite laminate bolted joints with local enhancement using buckypaper sensors16
Damage identification in structures using dynamic mode decomposition for vibration analysis of low-resolution videos16
A bearing fault diagnosis method based on M-SSCNN and M-LR attention mechanism16
Full-field expansion and damage detection from sparse measurements using physics-informed variational autoencoders16
Semi-Supervised Transfer Graph Representation Learning with Few-Shot Adaptation for gearbox diagnostics under extraneous transient noise15
An intelligent fault diagnosis method of rolling bearing based on expansion and transfer of single working condition data under small samples15
Fatigue damage analysis of a Kaplan turbine model operating at off-design and transient conditions15
Vision-guided crack identification and size quantification framework for dam underwater concrete structures15
FD-DDLLM: A large language model enhanced dual-domain transformer for intelligent fault diagnosis15
Neural extended Kalman filters for learning and predicting dynamics of structural systems15
Automatic pipeline fault detection using one-dimensional convolutional bidirectional long short-term memory networks with wide first-layer kernels15
Multibolt looseness monitoring of steel structure based on multitask active sensing method and substructure cross-domain transfer learning15
Deep learning-based concrete defects classification and detection using semantic segmentation15
Physics-guided neural network for structural health monitoring with lamb waves through boundary reflection elimination15
A comparison of ultrasonic temperature monitoring using machine learning and physics-based methods for high-cycle thermal fatigue monitoring15
A comprehensive study of techniques utilized for structural health monitoring of oil and gas pipelines15
On cross-attention-based graph neural networks for fault diagnosis using multi-sensor measurement15
A novel feature extraction method based on symbol-scale diversity entropy and its application for fault diagnosis of rotary machines14
Enhancing automated health monitoring of road infrastructure through a hierarchical robust deep learning approach14
Experimental and numerical investigation on strain-based structural health monitoring of impacted composite stiffened panels14
GBL-MSS: a graph broad learning method for rolling bearing fault diagnosis under strong noise interference14
Global-local optimization layout method for active piezoelectric sensor driven by structural critical areas14
Kolmogorov-Arnold networks for industrial machine health monitoring with continual learning capability using time-series vibration data14
An intelligent monitoring framework for crack anomaly detection and early warning in concrete bridges using GAF-based classification and GRU prediction14
A geometrical morphology-enhanced computer vision approach for structural health assessment14
Identification of damaged member in a truss structure using acoustic emission technique aided by SVM14
Bayesian data-driven framework for structural health monitoring of composite structures under limited experimental data14
Physics-guided spatiotemporal learning with invariant graph for cross-domain structural damage identification14
Feature map field fusion of guided wave vibrometer data for increased fault localization capability14
Detecting delamination of concrete cover using movable PZT sensors and baseline-free electromechanical impedance techniques14
A hybrid attention hierarchical network-based extreme event detection method for structural health monitoring13
Compound damage detection using wavelet transform and deep neural network trained on healthy and single damage states: Validation on a laboratory-scale offshore jacket model13
Multi-type damage localization using the scattering coefficient-based RAPID algorithm with damage indexes separation and imaging fusion13
A novel acoustic emission sensor design and modeling method for monitoring the status of high-speed train bearings13
Research on multimodal techniques for arc detection in railway systems with limited data13
Damage monitoring of glass/epoxy-curved laminates with different stacking sequences using acoustic emission13
SHM-informed life-cycle intelligent maintenance of fatigue-sensitive detail using Bayesian forecasting and Markov decision process13
Pattern recognition in electromechanical impedance spectroscopy damage detection of adhesive joints using multidimensional scaling13
A multitask framework with self-attention mechanism for simultaneous detection of axial pressure, shear deformation, and rupture damage in rubber bearings13
Blade crack detection based on domain adaptation and autoencoder of multidimensional vibro-acoustic feature fusion13
Parameter-adaptive CYCBD β blind deconvolution for bearing fault diagnosis of a reduction gearbox 13
Adaptive resize-residual deep neural network for fault diagnosis of rotating machinery13
An optimal candidate fault frequency periodicity index optimization-gram for bearing fault diagnosis13
Locating cracks in smart TRC elements based on the TDR concept13
Bolt load looseness measurement for slip-critical blind bolt by ultrasonic technique: a feasibility study with calibration and experimental verification13
Weighted plane deformation modeling and crack analysis for high core-wall rockfill dams13
Influence line theory supported single sensor-based strain feature for bridge defect diagnosis12
Spatiotemporal graph neural diagnostics for rotating machinery: a single-sensor multidimensional fusion framework12
Detecting pre-existing HDPE double-wall corrugated drainage pipe disconnection with fiber-optic distributed acoustic sensing12
Adaptive and cross-attention Vision Transformer-based transfer network for elevator fault diagnosis toward unbalanced samples12
Integrating the maximum mean discrepancy metric with time–frequency enhanced convolutional neural networks for fault diagnosis12
Conditional disentangled representation augmentation network for imbalanced domain generalization fault diagnosis of rotating machinery12
A dual-sensor AE localization method for damaged steel tendon in prestressed concrete girders using waveguide rods12
A deep learning-empowered data anomaly detection method based on a symmetric dot pattern for bridge monitoring data12
Interpretable research on the health monitoring network of prefabricated building beam–column joints12
An interpretable algorithm unrolling network inspired by group-based sparse coding for mechanical fault diagnosis12
A novel Lamb wave-based multi-damage dataset construction and quantification algorithm under the framework of multi-task deep learning12
A fault diagnosis method with continuous frequency-band indicator embedding and class-aware interpretable feature weighting12
Attention-enhanced spatiotemporal deep learning-based automatic warning model with uncertainty estimation in dam safety12
Intelligent perception and early warning for deterioration of prestressed concrete box-girder bridges via the variation mining of mapping from vehicle load to structural displacement12
A lightweight and real-time deep learning approach for pipeline bolt loosening detection using active guided waves12
Accelerating Bayesian inference of structural damage detection based on physics-guided CNN and zero-shot transfer learning12
An improved approach for compressive sensing of vibration signals considering spectral leakage effect12
Probabilistic damage analysis of rebar corrosion in recycled aggregate concrete using sideband intensity-based nonlinear ultrasonic technique12
Pitting corrosion diagnostics and prognostics for miter gates using multiscale simulation and image inspection data12
Track acoustic signal compression method based on sparse decomposition and M 2to1 -guided resampling11
Incipient Fault Detection of Helical Gearbox Based on Variational Mode Decomposition and Time Synchronous Averaging11
Optimal tuning of three deep learning methods with signal processing and anomaly detection for multi-class damage detection of a large-scale bridge11
Meta-learning-based hybrid LSTM-Transformer framework for cross-condition small sample fault diagnosis11
A semi-supervised learning framework fusing multi-sensor visual features for ship propulsion shafting fault diagnosis11
Quantitative blade damage detection based on multisource domain and multistage joint transfer11
Online health monitoring of rotating machine elements using statistical spectral distances11
Towards smart monitoring of systems: an integrated non-parametric Bayesian KDE and LSTM approach for anomaly detection of rotating machinery under uncertainties11
Detection of cavities and leakage near buried pipelines using transmission lines considering influence range of electromagnetic waves11
ESPKARN: a multichannel framework for bearing fault diagnosis in the presence of imbalanced samples11
Twin contrastive learning based on negative sample attention and its application in rolling bearing fault diagnosis11
Quantitative detection of typical bridge surface damages based on global attention mechanism and YOLOv7 network11
A novel high-precision lightweight concrete bridge crack image recognition method based on knowledge distillation11
Identification of bridge influence line and multiple-vehicle loads based on physics-informed neural networks11
Automated real-time cable tension warning framework using long-term monitoring data and a convolutional neural network11
Health monitoring of automotive clutch system through feature fusion and application of tree-based classifiers11
Automated labeling and abnormal detection based on kernel cluster local outlier factor for machinery health monitoring11
Fisher embedding shift-invariant dictionary learning for weak feature recognition in bearing health monitoring10
Application of covariance statistical method for damage identification on railway truss bridge using acceleration response: experimental and numerical validation10
An unsupervised transfer learning bearing fault diagnosis method based on multi-channel calibrated Transformer with shiftable window10
Vibration resonance-assisted stochastic resonance for incipient bearing fault detection10
AI-driven detection of failure modes in thermoplastic composites using acoustic emission techniques10
Research on compound faults identification of aeroengine inter-shaft bearing based on CCF–Complexity–VMD–SVD10
An unsupervised online anomaly detection method for metal additive manufacturing processes via a statistical time-frequency domain algorithm10
Reliability analysis of complex structures based on Bayesian inference10
Damage location diagnosis of frame structure based on wavelet denoising and convolution neural network implanted with Inception module and LSTM10
Data quality evaluation for bridge structural health monitoring based on deep learning and frequency-domain information10
An output-only damage identification method based on reinforcement-aided evolutionary algorithm and heterogeneous response reconstruction10
An unsupervised context-free forecasting method for structural health monitoring by generative adversarial networks with progressive growing and self-attention10
Low-cost ultrasonic monitoring for incipient and progressive damage in reinforced concrete beam10
The multi-channel signals based tensor sparse representation classification method for fault diagnosis of high-speed train10
A rolling bearing fault diagnosis method based on a convolutional neural network with frequency attention mechanism10
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