Measurement Science and Technology

Papers
(The TQCC of Measurement Science and Technology is 5. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Few shot cross equipment fault diagnosis method based on parameter optimization and feature mertic105
In-situ measurement and monitoring methods for metal powder bed fusion: an updated review85
Improved YOLOv3 model with feature map cropping for multi-scale road object detection83
Recent advances and perspectives for positioning and applications with smartphone GNSS observations76
VMD based trigonometric entropy measure: a simple and effective tool for dynamic degradation monitoring of rolling element bearing60
Bearing fault diagnosis using transfer learning and optimized deep belief network60
Development of compact electronic noses: a review59
Stripe-based and attribute-aware network: a two-branch deep model for vehicle re-identification57
An effective health indicator for the Pelton wheel using a Levy flight mutated genetic algorithm45
Automatic crack recognition for concrete bridges using a fully convolutional neural network and naive Bayes data fusion based on a visual detection system45
A novel transformer-based neural network model for tool wear estimation43
Ruthenium-based fast-responding pressure-sensitive paint for measuring small pressure fluctuation in low-speed flow field40
Metrological characteristics for the calibration of surface topography measuring instruments: a review39
Rolling bearing fault diagnosis based on 2D time-frequency images and data augmentation technique39
Interpretability of deep convolutional neural networks on rolling bearing fault diagnosis39
Detection of impact on aircraft composite structure using machine learning techniques38
Performance evaluation of terrestrial laser scanners—a review37
Raw GNSS observations from Android smartphones: characteristics and short-baseline RTK positioning performance37
A novel performance trend prediction approach using ENBLS with GWO36
Digital twin-driven machine learning: ball bearings fault severity classification36
Review of high-speed imaging with lab-based x-ray computed tomography34
Speckle patterns for DIC in challenging scenarios: rapid application and impact endurance33
Development of a new high-precision friction test platform and experimental study of friction characteristics for pneumatic cylinders33
Autocorrelation energy and aquila optimizer for MED filtering of sound signal to detect bearing defect in Francis turbine32
An ameliorated African vulture optimization algorithm to diagnose the rolling bearing defects32
Bearing remaining useful life estimation using an adaptive data-driven model based on health state change point identification and K-means clustering32
Sparse auto-encoder with regularization method for health indicator construction and remaining useful life prediction of rolling bearing31
Tool wear estimation using a CNN-transformer model with semi-supervised learning30
Accuracy assessment of direct georeferencing UAV images with onboard global navigation satellite system and comparison of CORS/RTK surveying methods30
Data augmentation for rolling bearing fault diagnosis using an enhanced few-shot Wasserstein auto-encoder with meta-learning30
A strip steel surface defect detection method based on attention mechanism and multi-scale maxpooling30
Bearing fault diagnosis based on optimized variational mode decomposition and 1D convolutional neural networks30
An improved deep residual network with multiscale feature fusion for rotating machinery fault diagnosis30
Airborne LiDAR: state-of-the-art of system design, technology and application29
Assessment of multi-frequency global navigation satellite system precise point positioning models using GPS, BeiDou, GLONASS, Galileo and QZSS29
Pattern recognition of a sensitive feature set based on the orthogonal neighborhood preserving embedding and adaboost_SVM algorithm for rolling bearing early fault diagnosis28
Metal-oxide gas sensors for exhaled-breath analysis: a review28
Generative adversarial network and transfer-learning-based fault detection for rotating machinery with imbalanced data condition28
An unsupervised bearing fault diagnosis based on deep subdomain adaptation under noise and variable load condition27
Cross-domain learning in rotating machinery fault diagnosis under various operating conditions based on parameter transfer27
Clustering-based particle detection method for digital holography to detect the three-dimensional location and in-plane size of particles27
A novel adaptive federated filter for GNSS/INS/VO integrated navigation system27
Adversarial domain adaptation with classifier alignment for cross-domain intelligent fault diagnosis of multiple source domains27
Bearing fault diagnosis method based on a multi-head graph attention network27
Testing GNSS receiver accuracy in Samsung Galaxy series mobile phones at a sports stadium26
LOSGAN: latent optimized stable GAN for intelligent fault diagnosis with limited data in rotating machinery26
Time-resolved particle image velocimetry26
Optical trapping and laser-spectroscopy measurements of single particles in air: a review26
A scale independent flexible bearing health monitoring index based on time frequency manifold energy & entropy26
A fault diagnosis model based on singular value manifold features, optimized SVMs and multi-sensor information fusion25
Multi-frequency-band deep CNN model for tool wear prediction25
A combination of residual and long–short-term memory networks for bearing fault diagnosis based on time-series model analysis24
Weighted kurtosis-based VMD and improved frequency-weighted energy operator low-speed bearing-fault diagnosis24
Improved VMD-FRFT based on initial center frequency for early fault diagnosis of rolling element bearing24
An insight on optical metrology in manufacturing24
Extraction and enhancement of unknown bearing fault feature in the strong noise under variable speed condition24
High-sensitivity balloon-like thermometric sensor based on bent single-mode fiber24
Triple-temperature readout in luminescence thermometry with Cr3+-doped Mg2SiO4 operating from cryogenic to physiologically relevant temperatures24
Multiscale proper orthogonal decomposition (mPOD) of TR-PIV data—a case study on stationary and transient cylinder wake flows23
Machine learning shadowgraph for particle size and shape characterization23
Fault diagnosis of a rolling bearing based on the wavelet packet transform and a deep residual network with lightweight multi-branch structure23
WiFi/PDR integrated navigation with robustly constrained Kalman filter23
An autoencoder with adaptive transfer learning for intelligent fault diagnosis of rotating machinery23
Landmark tracking in liver US images using cascade convolutional neural networks with long short-term memory23
Progress of nanopositioning and nanomeasuring machines for cross-scale measurement with sub-nanometre precision22
Novel multi-scale dilated CNN-LSTM for fault diagnosis of planetary gearbox with unbalanced samples under noisy environment22
Three-dimensional confocal reflectance microscopy for surface metrology22
Critical implementation issues of excitation signals for embedded wearable bioimpedance spectroscopy systems with limited resources22
Instantaneous wall-shear-stress measurements: advances and application to near-wall extreme events22
Phase-aberration compensation via deep learning in digital holographic microscopy22
MEMS technology and applications in geotechnical monitoring: a review22
Accurate tip characterization in critical dimension atomic force microscopy21
A novel multi-adversarial cross-domain neural network for bearing fault diagnosis21
Flow field tomography with uncertainty quantification using a Bayesian physics-informed neural network21
AFM microfluidic cantilevers as weight sensors for live single cell mass measurements21
Point cloud segmentation based on Euclidean clustering and multi-plane extraction in rugged field21
Optical fiber SPR magnetic field sensor based on photonic crystal fiber with the magnetic fluid as cladding21
A data-driven group-sparse feature extraction method for fault detection of wind turbine transmission system21
The lattice parameter of silicon: a secondary realisation of the metre20
Multi-synchrosqueezing S-transform for fault diagnosis in rolling bearings20
A novel method for diagnosing bearing transfer faults based on a maximum mean discrepancies guided domain-adversarial mechanism20
An anti-noise fault diagnosis approach for rolling bearings based on multiscale CNN-LSTM and a deep residual learning model20
Point cloud simplification algorithm based on the feature of adaptive curvature entropy20
Deep domain adaptation with adversarial idea and coral alignment for transfer fault diagnosis of rolling bearing19
Pose measurement approach based on two-stage binocular vision for docking large components19
Multiscale holospectrum convolutional neural network-based fault diagnosis of rolling bearings with variable operating conditions19
Augmented flame image soft sensor for combustion oxygen content prediction19
A two-stage CNN for automated tire defect inspection in radiographic image19
New metrology for radon at the environmental level19
Electron microscopy in semiconductor inspection19
Spray drop measurements using depth from defocus19
Intelligent fault diagnosis using an unsupervised sparse feature learning method19
Multiview Wasserstein generative adversarial network for imbalanced pearl classification19
On the use of a cascaded convolutional neural network for three-dimensional flow measurements using astigmatic PTV19
An enhanced sparse filtering method for transfer fault diagnosis using maximum classifier discrepancy19
Compound fault diagnosis of rolling bearings based on improved tunable Q-factor wavelet transform19
A thermographic data augmentation and signal separation method for defect detection19
An intelligent fault diagnosis method for rolling bearings based on feature transfer with improved DenseNet and joint distribution adaptation19
Intelligent reading recognition method of a pointer meter based on deep learning in a real environment18
Charting the course towards dimensional measurement traceability by x-ray computed tomography18
Bearing fault diagnosis under various operation conditions using synchrosqueezing transform and improved two-dimensional convolutional neural network18
Bearing fault diagnosis method based on multi-source heterogeneous information fusion18
Change of exposure time mid-test in high temperature DIC measurement18
Spontaneous Raman scattering at trace gas concentrations with a pressurized external multipass cavity18
High sensitivity gas pressure sensor based on two parallel-connected Fabry–Perot interferometers and Vernier effect18
Assessment of three-dimensional density measurements from tomographic background-oriented schlieren (BOS)18
Photoacoustic signal with two heating sources: theoretical predictions and experimental results for the open photoacoustic cell technique18
Improving accuracy of cavitation severity recognition in axial piston pumps by denoising time–frequency images17
Simplification of calibration of low-cost MEMS accelerometer and its temperature compensation without accurate laboratory equipment17
A novel intelligent diagnosis method of rolling bearing and rotor composite faults based on vibration signal-to-image mapping and CNN-SVM17
A hybrid intelligent rolling bearing fault diagnosis method combining WKN-BiLSTM and attention mechanism17
Measuring procedures for surface evaluation of additively manufactured powder bed-based polymer and metal parts17
Research on bearing fault diagnosis method based on transformer neural network17
A standard expression of underwater binocular vision for stereo matching17
The VMD-scale space based hoyergram and its application in rolling bearing fault diagnosis17
Tire defect classification using a deep convolutional sparse-coding network17
A self-adaptive multiple-fault diagnosis system for rolling element bearings17
A novel 3D laser scanning defect detection and measurement approach for automated fibre placement17
A safe and efficient LIDAR-based navigation system for 4WS4WD mobile manipulators in manufacturing plants17
Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network17
Review of porosity uncertainty estimation methods in computed tomography dataset17
Tacholess bearing fault detection based on adaptive impulse extraction in the time domain under fluctuant speed16
Application of a whale optimized variational mode decomposition method based on envelope sample entropy in the fault diagnosis of rotating machinery16
Planar capacitive imaging for composite delamination damage characterization16
CASPPNet: a chained atrous spatial pyramid pooling network for steel defect detection16
A hybrid FBG-based load and vibration transducer with a 3D fused deposition modelling approach16
A novel 1DCNN and domain adversarial transfer strategy for small sample GIS partial discharge pattern recognition16
A novel approach to tool condition monitoring based on multi-sensor data fusion imaging and an attention mechanism16
Emerging technologies in the field of thermometry16
Defocus particle tracking: a comparison of methods based on model functions, cross-correlation, and neural networks16
Fault diagnosis of planetary gears based on intrinsic feature extraction and deep transfer learning16
Silicon drift detectors system for high-precision light kaonic atoms spectroscopy16
An improved self-calibration method with consideration of inner lever-arm effects for a dual-axis rotational inertial navigation system16
A deep ensemble dense convolutional neural network for rolling bearing fault diagnosis16
High-sensitivity and low-interference gas analyzer with feature extraction from mid-infrared laser absorption-modulated signal16
Identification of cavitation intensity for high-speed aviation hydraulic pumps using 2D convolutional neural networks with an input of RGB-based vibration data16
A simulation-data-driven subdomain adaptation adversarial transfer learning network for rolling element bearing fault diagnosis16
Fault diagnosis of key components in the rotating machinery based on Fourier transform multi-filter decomposition and optimized LightGBM16
A brief review of magnetic anomaly detection16
A signal de-noising method for a MEMS gyroscope based on improved VMD-WTD16
A rolling bearing fault diagnosis method using novel lightweight neural network16
Sparse feature extraction based on periodical convolutional sparse representation for fault detection of rotating machinery15
Calibrating stereo-digital image correlation system using synthetic speckle-pattern calibration target15
Quantum-cascade-laser-based dual-comb thermometry and speciation at high temperatures15
Mixed kernel principal component weighted regression based on just-in-time learning for soft sensor modeling15
A high-sensitivity liquid level sensor based on single-mode taper-thin core taper single-mode fiber structure15
Radius and roundness measurement of micro spheres based on a set of AFM surface scans15
Magnetic object positioning method based on tensor spacial invariant relations15
Low-speed bearing fault diagnosis based on improved statistical filtering and convolutional neural network15
An ultrasonic signal processing method to improve defect depth estimation in composites based on empirical mode decomposition15
Visual SLAM based on instance segmentation in dynamic scenes15
Adversarial domain adaptation of asymmetric mapping with CORAL alignment for intelligent fault diagnosis15
Numerical and experimental study on leakage detection for buried gas pipelines based on distributed optical fiber acoustic wave15
Remaining useful life prediction of lithium-ion batteries using EM-PF-SSA-SVR with gamma stochastic process15
An optimized stacked diagnosis structure for fault diagnosis of wind turbine planetary gearbox15
Measuring grinding surface roughness based on singular value entropy of quaternion15
A geometry-independent moment correction method for the MPMS3 SQUID-based magnetometer14
A hybrid deep-learning model for fault diagnosis of rolling bearings in strong noise environments14
Influences of annealing temperature on the thermoelectric properties of thin film thermocouples based on a flexible substrate by RF magnetron sputtering14
Improvement of spin polarization spatial uniformity in optically pumped atomic magnetometers based on counter-propagating pump beams and atomic diffusion14
Fault diagnosis method of rotating bearing based on improved ensemble empirical mode decomposition and deep belief network14
Mechanical fault diagnosis of high-voltage circuit breakers using multi-segment permutation entropy and a density-weighted one-class extreme learning machine14
Gearbox compound fault diagnosis based on a combined MSGMD–MOMEDA method14
An edge-labeling graph neural network method for tool wear condition monitoring using wear image with small samples14
An adaptive spectrum segmentation-based optimized VMD method and its application in rolling bearing fault diagnosis14
Continuous approximation of the ZARC element with passive components14
Roadmap on signal processing for next generation measurement systems14
Fault diagnosis of rotating machinery components using a deep kernel extreme learning machine under different working conditions14
An improved intrinsic time-scale decomposition method based on adaptive noise and its application in bearing fault feature extraction14
Design and analysis of high-frequency fiber Bragg grating vibration sensor14
Rolling bearing remaining useful life prediction via weight tracking relevance vector machine14
Research on a fault diagnosis method for rolling bearing based on improved multiscale range entropy and hierarchical prototype14
Robust laser stripe extraction for 3D measurement of complex objects14
An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults13
Rigorous 3D modeling of confocal microscopy on 2D surface topographies13
PMENet: phase map enhancement for Fourier transform profilometry using deep learning13
An improved particle filter based indoor tracking system via joint Wi-Fi/PDR localization13
Multi-branch convolutional neural networks with integrated cross-entropy for fault diagnosis in diesel engines13
Dynamic simulation of a cylindrical roller bearing with a local defect by combining finite element and lumped parameter models13
A novel transfer-learning method based on selective normalization for fault diagnosis with limited labeled data13
Large area silicon drift detectors system for high precision timed x-ray spectroscopy13
Unmanned aerial vehicle rotor fault diagnosis based on interval sampling reconstruction of vibration signals and a one-dimensional convolutional neural network deep learning method13
Sparse representation based on generalized smooth logarithm regularization for bearing fault diagnosis13
Bearing performance degradation assessment based on information-theoretic metric learning and fuzzy c-means clustering13
Design of a wireless and fully flexible insole using a highly sensitive pressure sensor for gait event detection13
Optimum pressure range evaluation toward aerodynamic measurements using PSP in low-pressure conditions13
Discriminative feature learning for blade icing fault detection of wind turbine13
Acoustic emission source localisation for structural health monitoring of rail sections based on a deep learning approach13
Recent advances and applications of digital holography in multiphase reactive/nonreactive flows: a review13
Experimental investigation on vibro-acoustic techniques to detect and locate leakages in gas pipelines13
Performance comparison of particle tracking velocimetry (PTV) and particle image velocimetry (PIV) with long-exposure particle streaks13
Network-combined broad learning and transfer learning: a new intelligent fault diagnosis method for rolling bearings13
An improved TDCP-GNSS/INS integration scheme considering small cycle slip for low-cost land vehicular applications13
Roadmap on measurement technologies for next generation structural health monitoring systems13
Modeling and assessment of real-time precise point positioning timing with multi-GNSS observations13
Accurate and simple digital volume correlation using pre-interpolation13
A time-domain ultrasonic approach for oil film thickness measurement with improved resolution and range13
Identification of low energy nuclear recoils in a gas time projection chamber with optical readout13
Multi-sensor signal fusion for a compound fault diagnosis method with strong generalization and noise-tolerant performance13
Focused laser differential interferometer response to shock waves13
A novel robust filter for outliers and time-varying delay on an SINS/USBL integrated navigation model13
Symmetric co-training based unsupervised domain adaptation approach for intelligent fault diagnosis of rolling bearing13
Deep domain adversarial method with central moment discrepancy for intelligent transfer fault diagnosis12
A motor-imagery channel-selection method based on SVM-CCA-CS12
Extended tuning of distributed-feedback lasers in a bias-tee circuit via waveform optimization for MHz-rate absorption spectroscopy12
Rise time-based phosphor thermometry using Mg4FGeO6:Mn4+12
Tomographic reconstruction of light field PIV based on a backward ray-tracing technique12
A new signal processing method for a differential chromatic confocal probe with a mode-locked femtosecond laser12
Bearing fault diagnosis using normalized diagnostic feature-gram and convolutional neural network12
A dense RGB-D SLAM algorithm based on convolutional neural network of multi-layer image invariant feature12
The calibration method for accelerometers in the redundant MEMS inertial navigation system12
A smart sensor-based monitoring system for vibration measurement and bearing fault detection12
Bearing fault diagnosis by combining a deep residual shrinkage network and bidirectional LSTM12
Numerical method to predict vibration characteristics induced by cavitation in centrifugal pumps12
Locating the inflection point of frequency-dependent velocity dispersion by acoustic relaxation to identify gas mixtures12
Adaptive multiple second-order synchrosqueezing wavelet transform and its application in wind turbine gearbox fault diagnosis12
Adaptive sparse denoising and periodicity weighted spectrum separation for compound bearing fault diagnosis12
Spatial attention-based convolutional transformer for bearing remaining useful life prediction12
A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication12
A novel centerline extraction algorithm for a laser stripe applied for turbine blade inspection12
Wind turbine gearbox fault diagnosis based on an improved supervised autoencoder using vibration and motor current signals12
Matching and reassignment based time-frequency enhancement for rotating machinery fault diagnosis under nonstationary speed operations12
Weak signal enhancement for rolling bearing fault diagnosis based on adaptive optimized VMD and SR under strong noise background12
Simultaneous measurement of pressure and temperature in a supersonic ejector using FBG sensors12
Quantify pixel-level detection of dam surface crack using deep learning12
Vehicle platform attitude estimation method based on adaptive Kalman filter and sliding window least squares12
Learning a superficial correlated representation using a local mapping strategy for bearing performance degradation assessment12
Single-particle optical-trapping Raman spectroscopy for the detection and identification of aerosolized airborne biological particles12
Calibration method for the rotating axis in panoramic 3D shape measurement based on a turntable12
Soil organic matter determination based on artificial olfactory system and PLSR-BPNN12
An educational review on distributed optic fiber sensing based on Rayleigh backscattering for damage tracking and structural health monitoring12
Obstacle detection in dangerous railway track areas by a convolutional neural network12
Practical speed measurement for an intelligent vehicle based on double Radon transform in urban traffic scenarios12
X-ray fluorescence spectroscopic analysis of trace elements in soil with an Adaboost back propagation neural network and multivariate-partial least squares regression12
Cost-effective, vision-based multi-target tracking approach for structural health monitoring12
Quantifying the spatial resolution of the maximum a posteriori estimate in linear, rank-deficient, Bayesian hard field tomography12
A novel robot-assisted electrical impedance scanning system for subsurface object detection11
Transfer learning method for rolling bearing fault diagnosis under different working conditions based on CycleGAN11
A method for mechanical fault recognition with unseen classes via unsupervised convolutional adversarial auto-encoder11
Surface temperature condition monitoring methods for aerospace turbomachinery: exploring the use of ultrasonic guided waves11
Pressure-sensitive paint measurements with temperature correction on the wing of AGARD-B under transonic flow conditions11
Development of a low-cost method for quantifying microplastics in soils and compost using near-infrared spectroscopy11
An improved neural network method for aeromagnetic compensation11
Acoustic-based method for identifying surface damage to wind turbine blades by using a convolutional neural network11
A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM11
Multimodal convolutional neural network model with information fusion for intelligent fault diagnosis in rotating machinery11
Flow visualization: state-of-the-art development of micro-particle image velocimetry11
Adaptive singular value decomposition for bearing fault diagnosis under strong noise interference11
A bearing fault feature extraction method based on optimized singular spectrum decomposition and linear predictor11
Accurate and dynamic 3D shape measurement with digital image correlation-assisted phase shifting11
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