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 2020-05-01 to 2024-05-01.)
ArticleCitations
Few shot cross equipment fault diagnosis method based on parameter optimization and feature mertic107
In-situ measurement and monitoring methods for metal powder bed fusion: an updated review92
Improved YOLOv3 model with feature map cropping for multi-scale road object detection90
Recent advances and perspectives for positioning and applications with smartphone GNSS observations80
Bearing fault diagnosis using transfer learning and optimized deep belief network68
VMD based trigonometric entropy measure: a simple and effective tool for dynamic degradation monitoring of rolling element bearing63
Stripe-based and attribute-aware network: a two-branch deep model for vehicle re-identification61
Development of compact electronic noses: a review60
An effective health indicator for the Pelton wheel using a Levy flight mutated genetic algorithm46
Automatic crack recognition for concrete bridges using a fully convolutional neural network and naive Bayes data fusion based on a visual detection system45
Rolling bearing fault diagnosis based on 2D time-frequency images and data augmentation technique43
Ruthenium-based fast-responding pressure-sensitive paint for measuring small pressure fluctuation in low-speed flow field41
Interpretability of deep convolutional neural networks on rolling bearing fault diagnosis40
Metrological characteristics for the calibration of surface topography measuring instruments: a review39
Detection of impact on aircraft composite structure using machine learning techniques38
Raw GNSS observations from Android smartphones: characteristics and short-baseline RTK positioning performance38
Review of high-speed imaging with lab-based x-ray computed tomography38
Performance evaluation of terrestrial laser scanners—a review37
A novel performance trend prediction approach using ENBLS with GWO37
Digital twin-driven machine learning: ball bearings fault severity classification37
Development of a new high-precision friction test platform and experimental study of friction characteristics for pneumatic cylinders35
Bearing fault diagnosis based on optimized variational mode decomposition and 1D convolutional neural networks34
Speckle patterns for DIC in challenging scenarios: rapid application and impact endurance33
Bearing remaining useful life estimation using an adaptive data-driven model based on health state change point identification and K-means clustering33
Tool wear estimation using a CNN-transformer model with semi-supervised learning32
An ameliorated African vulture optimization algorithm to diagnose the rolling bearing defects32
Autocorrelation energy and aquila optimizer for MED filtering of sound signal to detect bearing defect in Francis turbine32
Data augmentation for rolling bearing fault diagnosis using an enhanced few-shot Wasserstein auto-encoder with meta-learning32
Sparse auto-encoder with regularization method for health indicator construction and remaining useful life prediction of rolling bearing32
An improved deep residual network with multiscale feature fusion for rotating machinery fault diagnosis32
Accuracy assessment of direct georeferencing UAV images with onboard global navigation satellite system and comparison of CORS/RTK surveying methods31
A strip steel surface defect detection method based on attention mechanism and multi-scale maxpooling31
Cross-domain learning in rotating machinery fault diagnosis under various operating conditions based on parameter transfer30
Generative adversarial network and transfer-learning-based fault detection for rotating machinery with imbalanced data condition30
Adversarial domain adaptation with classifier alignment for cross-domain intelligent fault diagnosis of multiple source domains30
Time-resolved particle image velocimetry30
Pattern recognition of a sensitive feature set based on the orthogonal neighborhood preserving embedding and adaboost_SVM algorithm for rolling bearing early fault diagnosis30
Metal-oxide gas sensors for exhaled-breath analysis: a review30
Airborne LiDAR: state-of-the-art of system design, technology and application29
An unsupervised bearing fault diagnosis based on deep subdomain adaptation under noise and variable load condition28
Clustering-based particle detection method for digital holography to detect the three-dimensional location and in-plane size of particles28
Bearing fault diagnosis method based on a multi-head graph attention network28
A novel adaptive federated filter for GNSS/INS/VO integrated navigation system27
High-sensitivity balloon-like thermometric sensor based on bent single-mode fiber27
A scale independent flexible bearing health monitoring index based on time frequency manifold energy & entropy27
Optical trapping and laser-spectroscopy measurements of single particles in air: a review27
Multi-frequency-band deep CNN model for tool wear prediction27
Weighted kurtosis-based VMD and improved frequency-weighted energy operator low-speed bearing-fault diagnosis26
LOSGAN: latent optimized stable GAN for intelligent fault diagnosis with limited data in rotating machinery26
A fault diagnosis model based on singular value manifold features, optimized SVMs and multi-sensor information fusion25
Landmark tracking in liver US images using cascade convolutional neural networks with long short-term memory25
Novel multi-scale dilated CNN-LSTM for fault diagnosis of planetary gearbox with unbalanced samples under noisy environment25
A combination of residual and long–short-term memory networks for bearing fault diagnosis based on time-series model analysis25
MEMS technology and applications in geotechnical monitoring: a review25
Instantaneous wall-shear-stress measurements: advances and application to near-wall extreme events24
Extraction and enhancement of unknown bearing fault feature in the strong noise under variable speed condition24
WiFi/PDR integrated navigation with robustly constrained Kalman filter24
Multiscale proper orthogonal decomposition (mPOD) of TR-PIV data—a case study on stationary and transient cylinder wake flows24
Fault diagnosis of a rolling bearing based on the wavelet packet transform and a deep residual network with lightweight multi-branch structure24
Machine learning shadowgraph for particle size and shape characterization24
Improved VMD-FRFT based on initial center frequency for early fault diagnosis of rolling element bearing24
An insight on optical metrology in manufacturing24
An autoencoder with adaptive transfer learning for intelligent fault diagnosis of rotating machinery24
Triple-temperature readout in luminescence thermometry with Cr3+-doped Mg2SiO4 operating from cryogenic to physiologically relevant temperatures24
Progress of nanopositioning and nanomeasuring machines for cross-scale measurement with sub-nanometre precision23
Critical implementation issues of excitation signals for embedded wearable bioimpedance spectroscopy systems with limited resources23
Phase-aberration compensation via deep learning in digital holographic microscopy23
An intelligent fault diagnosis method for rolling bearings based on feature transfer with improved DenseNet and joint distribution adaptation23
A novel method for diagnosing bearing transfer faults based on a maximum mean discrepancies guided domain-adversarial mechanism22
Three-dimensional confocal reflectance microscopy for surface metrology22
An anti-noise fault diagnosis approach for rolling bearings based on multiscale CNN-LSTM and a deep residual learning model22
New metrology for radon at the environmental level21
AFM microfluidic cantilevers as weight sensors for live single cell mass measurements21
Optical fiber SPR magnetic field sensor based on photonic crystal fiber with the magnetic fluid as cladding21
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
Compound fault diagnosis of rolling bearings based on improved tunable Q-factor wavelet transform21
Point cloud segmentation based on Euclidean clustering and multi-plane extraction in rugged field21
Research on bearing fault diagnosis method based on transformer neural network20
Multiscale holospectrum convolutional neural network-based fault diagnosis of rolling bearings with variable operating conditions20
A two-stage CNN for automated tire defect inspection in radiographic image20
Intelligent reading recognition method of a pointer meter based on deep learning in a real environment20
Multi-synchrosqueezing S-transform for fault diagnosis in rolling bearings20
A thermographic data augmentation and signal separation method for defect detection20
Electron microscopy in semiconductor inspection20
Point cloud simplification algorithm based on the feature of adaptive curvature entropy20
The lattice parameter of silicon: a secondary realisation of the metre20
Deep domain adaptation with adversarial idea and coral alignment for transfer fault diagnosis of rolling bearing19
An enhanced sparse filtering method for transfer fault diagnosis using maximum classifier discrepancy19
A novel intelligent diagnosis method of rolling bearing and rotor composite faults based on vibration signal-to-image mapping and CNN-SVM19
Multiview Wasserstein generative adversarial network for imbalanced pearl classification19
Pose measurement approach based on two-stage binocular vision for docking large components19
Intelligent fault diagnosis using an unsupervised sparse feature learning method19
On the use of a cascaded convolutional neural network for three-dimensional flow measurements using astigmatic PTV19
Augmented flame image soft sensor for combustion oxygen content prediction19
Bearing fault diagnosis under various operation conditions using synchrosqueezing transform and improved two-dimensional convolutional neural network19
Measuring procedures for surface evaluation of additively manufactured powder bed-based polymer and metal parts18
A novel 3D laser scanning defect detection and measurement approach for automated fibre placement18
A safe and efficient LIDAR-based navigation system for 4WS4WD mobile manipulators in manufacturing plants18
High sensitivity gas pressure sensor based on two parallel-connected Fabry–Perot interferometers and Vernier effect18
Bearing fault diagnosis method based on multi-source heterogeneous information fusion18
Improving accuracy of cavitation severity recognition in axial piston pumps by denoising time–frequency images18
A rolling bearing fault diagnosis method using novel lightweight neural network18
Fault diagnosis of planetary gears based on intrinsic feature extraction and deep transfer learning18
Assessment of three-dimensional density measurements from tomographic background-oriented schlieren (BOS)18
Charting the course towards dimensional measurement traceability by x-ray computed tomography18
Spontaneous Raman scattering at trace gas concentrations with a pressurized external multipass cavity18
Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network18
Tire defect classification using a deep convolutional sparse-coding network18
Application of a whale optimized variational mode decomposition method based on envelope sample entropy in the fault diagnosis of rotating machinery17
A simulation-data-driven subdomain adaptation adversarial transfer learning network for rolling element bearing fault diagnosis17
Fault diagnosis of key components in the rotating machinery based on Fourier transform multi-filter decomposition and optimized LightGBM17
A brief review of magnetic anomaly detection17
Simplification of calibration of low-cost MEMS accelerometer and its temperature compensation without accurate laboratory equipment17
The VMD-scale space based hoyergram and its application in rolling bearing fault diagnosis17
Identification of cavitation intensity for high-speed aviation hydraulic pumps using 2D convolutional neural networks with an input of RGB-based vibration data17
A hybrid intelligent rolling bearing fault diagnosis method combining WKN-BiLSTM and attention mechanism17
Silicon drift detectors system for high-precision light kaonic atoms spectroscopy17
Improvement of spin polarization spatial uniformity in optically pumped atomic magnetometers based on counter-propagating pump beams and atomic diffusion17
A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication17
A novel approach to tool condition monitoring based on multi-sensor data fusion imaging and an attention mechanism17
Review of porosity uncertainty estimation methods in computed tomography dataset17
Planar capacitive imaging for composite delamination damage characterization17
A self-adaptive multiple-fault diagnosis system for rolling element bearings17
Rolling bearing remaining useful life prediction via weight tracking relevance vector machine17
A standard expression of underwater binocular vision for stereo matching17
CASPPNet: a chained atrous spatial pyramid pooling network for steel defect detection16
Fault diagnosis method of rotating bearing based on improved ensemble empirical mode decomposition and deep belief network16
Sparse feature extraction based on periodical convolutional sparse representation for fault detection of rotating machinery16
Low-speed bearing fault diagnosis based on improved statistical filtering and convolutional neural network16
Defocus particle tracking: a comparison of methods based on model functions, cross-correlation, and neural networks16
A hybrid FBG-based load and vibration transducer with a 3D fused deposition modelling approach16
A signal de-noising method for a MEMS gyroscope based on improved VMD-WTD16
Adversarial domain adaptation of asymmetric mapping with CORAL alignment for intelligent fault diagnosis16
Remaining useful life prediction of lithium-ion batteries using EM-PF-SSA-SVR with gamma stochastic process16
An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults16
A deep ensemble dense convolutional neural network for rolling bearing fault diagnosis16
A novel 1DCNN and domain adversarial transfer strategy for small sample GIS partial discharge pattern recognition16
High-sensitivity and low-interference gas analyzer with feature extraction from mid-infrared laser absorption-modulated signal16
Emerging technologies in the field of thermometry16
Mixed kernel principal component weighted regression based on just-in-time learning for soft sensor modeling16
Quantum-cascade-laser-based dual-comb thermometry and speciation at high temperatures15
Measuring grinding surface roughness based on singular value entropy of quaternion15
An adaptive spectrum segmentation-based optimized VMD method and its application in rolling bearing fault diagnosis15
Multi-branch convolutional neural networks with integrated cross-entropy for fault diagnosis in diesel engines15
Magnetic object positioning method based on tensor spacial invariant relations15
Unmanned aerial vehicle rotor fault diagnosis based on interval sampling reconstruction of vibration signals and a one-dimensional convolutional neural network deep learning method15
An optimized stacked diagnosis structure for fault diagnosis of wind turbine planetary gearbox15
A high-sensitivity liquid level sensor based on single-mode taper-thin core taper single-mode fiber structure15
Visual SLAM based on instance segmentation in dynamic scenes15
Calibrating stereo-digital image correlation system using synthetic speckle-pattern calibration target15
Numerical and experimental study on leakage detection for buried gas pipelines based on distributed optical fiber acoustic wave15
A geometry-independent moment correction method for the MPMS3 SQUID-based magnetometer15
An ultrasonic signal processing method to improve defect depth estimation in composites based on empirical mode decomposition15
Design of a wireless and fully flexible insole using a highly sensitive pressure sensor for gait event detection15
Radius and roundness measurement of micro spheres based on a set of AFM surface scans15
Large area silicon drift detectors system for high precision timed x-ray spectroscopy15
Continuous approximation of the ZARC element with passive components14
Roadmap on signal processing for next generation measurement systems14
Accurate and simple digital volume correlation using pre-interpolation14
Mechanical fault diagnosis of high-voltage circuit breakers using multi-segment permutation entropy and a density-weighted one-class extreme learning machine14
An improved TDCP-GNSS/INS integration scheme considering small cycle slip for low-cost land vehicular applications14
Design and analysis of high-frequency fiber Bragg grating vibration sensor14
A hybrid deep-learning model for fault diagnosis of rolling bearings in strong noise environments14
Roadmap on measurement technologies for next generation structural health monitoring systems14
An improved particle filter based indoor tracking system via joint Wi-Fi/PDR localization14
Experimental investigation on vibro-acoustic techniques to detect and locate leakages in gas pipelines14
Fault diagnosis of rotating machinery components using a deep kernel extreme learning machine under different working conditions14
Gearbox compound fault diagnosis based on a combined MSGMD–MOMEDA method14
Simultaneous measurement of pressure and temperature in a supersonic ejector using FBG sensors14
Rigorous 3D modeling of confocal microscopy on 2D surface topographies14
Single-particle optical-trapping Raman spectroscopy for the detection and identification of aerosolized airborne biological particles14
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
PMENet: phase map enhancement for Fourier transform profilometry using deep learning14
Network-combined broad learning and transfer learning: a new intelligent fault diagnosis method for rolling bearings14
An edge-labeling graph neural network method for tool wear condition monitoring using wear image with small samples14
An improved intrinsic time-scale decomposition method based on adaptive noise and its application in bearing fault feature extraction14
Influences of annealing temperature on the thermoelectric properties of thin film thermocouples based on a flexible substrate by RF magnetron sputtering14
Spatial attention-based convolutional transformer for bearing remaining useful life prediction13
Development of a low-cost method for quantifying microplastics in soils and compost using near-infrared spectroscopy13
Performance comparison of particle tracking velocimetry (PTV) and particle image velocimetry (PIV) with long-exposure particle streaks13
Optimum pressure range evaluation toward aerodynamic measurements using PSP in low-pressure conditions13
Sparse representation based on generalized smooth logarithm regularization for bearing fault diagnosis13
Bearing fault diagnosis by combining a deep residual shrinkage network and bidirectional LSTM13
Tomographic reconstruction of light field PIV based on a backward ray-tracing technique13
Identification of low energy nuclear recoils in a gas time projection chamber with optical readout13
Recent advances and applications of digital holography in multiphase reactive/nonreactive flows: a review13
Bearing fault diagnosis using normalized diagnostic feature-gram and convolutional neural network13
A novel robust filter for outliers and time-varying delay on an SINS/USBL integrated navigation model13
Weak signal enhancement for rolling bearing fault diagnosis based on adaptive optimized VMD and SR under strong noise background13
Symmetric co-training based unsupervised domain adaptation approach for intelligent fault diagnosis of rolling bearing13
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
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
Focused laser differential interferometer response to shock waves13
Accurate and dynamic 3D shape measurement with digital image correlation-assisted phase shifting13
A smart sensor-based monitoring system for vibration measurement and bearing fault detection13
Quantify pixel-level detection of dam surface crack using deep learning13
Improved robust and adaptive filter based on non-holonomic constraints for RTK/INS integrated navigation13
Multi-sensor signal fusion for a compound fault diagnosis method with strong generalization and noise-tolerant performance13
A new signal processing method for a differential chromatic confocal probe with a mode-locked femtosecond laser12
An educational review on distributed optic fiber sensing based on Rayleigh backscattering for damage tracking and structural health monitoring12
Unscented Kalman-filter-based simultaneous diagnostic scheme for gas-turbine gas path and sensor faults12
A dense RGB-D SLAM algorithm based on convolutional neural network of multi-layer image invariant feature12
A bearing fault feature extraction method based on optimized singular spectrum decomposition and linear predictor12
Cost-effective, vision-based multi-target tracking approach for structural health monitoring12
A method for mechanical fault recognition with unseen classes via unsupervised convolutional adversarial auto-encoder12
Deep domain adversarial method with central moment discrepancy for intelligent transfer fault diagnosis12
X-ray fluorescence spectroscopic analysis of trace elements in soil with an Adaboost back propagation neural network and multivariate-partial least squares regression12
Adaptive multiple second-order synchrosqueezing wavelet transform and its application in wind turbine gearbox fault diagnosis12
Rise time-based phosphor thermometry using Mg4FGeO6:Mn4+12
A novel wind turbine fault diagnosis based on deep transfer learning of improved residual network and multi-target data12
Adaptive sparse denoising and periodicity weighted spectrum separation for compound bearing fault diagnosis12
Perspective on the development and application of light-field cameras in flow diagnostics12
Multimodal convolutional neural network model with information fusion for intelligent fault diagnosis in rotating machinery12
Speeded-Up Robust Features-based image mosaic method for large-scale microscopic hyperspectral pathological imaging12
A semi-supervised fault diagnosis method for axial piston pump bearings based on DCGAN12
Crack width identification for underwater concrete structures using temperature tracer method12
Matching and reassignment based time-frequency enhancement for rotating machinery fault diagnosis under nonstationary speed operations12
Quantifying the spatial resolution of the maximum a posteriori estimate in linear, rank-deficient, Bayesian hard field tomography12
Practical speed measurement for an intelligent vehicle based on double Radon transform in urban traffic scenarios12
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
A motor-imagery channel-selection method based on SVM-CCA-CS12
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
Flow visualization: state-of-the-art development of micro-particle image velocimetry12
A novel centerline extraction algorithm for a laser stripe applied for turbine blade inspection12
Obstacle detection in dangerous railway track areas by a convolutional neural network12
Pressure-sensitive paint measurements with temperature correction on the wing of AGARD-B under transonic flow conditions12
Intelligent chatter detection for CNC machine based on RFE multi-feature selection strategy12
Wind turbine gearbox fault diagnosis based on an improved supervised autoencoder using vibration and motor current signals12
Development of measurement system for microstructures using an optical fiber probe: improvement of measurable region and depth12
The calibration method for accelerometers in the redundant MEMS inertial navigation system12
Vehicle platform attitude estimation method based on adaptive Kalman filter and sliding window least squares12
Extended tuning of distributed-feedback lasers in a bias-tee circuit via waveform optimization for MHz-rate absorption spectroscopy12
Learning a superficial correlated representation using a local mapping strategy for bearing performance degradation assessment12
Wasserstein distance based Asymmetric Adversarial Domain Adaptation in intelligent bearing fault diagnosis12
A novel fault diagnosis method of wind turbine bearings based on compressed sensing and AlexNet11
Precision measurement and evaluation of flatness error for the aero-engine rotor connection surface based on convex hull theory and an improved PSO algorithm11
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
Transfer learning method for rolling bearing fault diagnosis under different working conditions based on CycleGAN11
An improved neural network method for aeromagnetic compensation11
Adaptive singular value decomposition for bearing fault diagnosis under strong noise interference11
Research on weak signal detection of integral average digital lock-in amplifier11
Interferometric device for the in-process measurement of diameter variation in the manufacture of ultraprecise spheres11
Surface temperature condition monitoring methods for aerospace turbomachinery: exploring the use of ultrasonic guided waves11
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