Measurement Science and Technology

Papers
(The TQCC of Measurement Science and Technology is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Few shot cross equipment fault diagnosis method based on parameter optimization and feature mertic124
In-situ measurement and monitoring methods for metal powder bed fusion: an updated review120
Improved YOLOv3 model with feature map cropping for multi-scale road object detection113
Bearing fault diagnosis using transfer learning and optimized deep belief network83
Development of compact electronic noses: a review82
VMD based trigonometric entropy measure: a simple and effective tool for dynamic degradation monitoring of rolling element bearing71
Rolling bearing fault diagnosis based on 2D time-frequency images and data augmentation technique55
An effective health indicator for the Pelton wheel using a Levy flight mutated genetic algorithm52
Interpretability of deep convolutional neural networks on rolling bearing fault diagnosis48
Ruthenium-based fast-responding pressure-sensitive paint for measuring small pressure fluctuation in low-speed flow field47
Digital twin-driven machine learning: ball bearings fault severity classification45
Metrological characteristics for the calibration of surface topography measuring instruments: a review44
Review of high-speed imaging with lab-based x-ray computed tomography44
Detection of impact on aircraft composite structure using machine learning techniques43
Performance evaluation of terrestrial laser scanners—a review42
Raw GNSS observations from Android smartphones: characteristics and short-baseline RTK positioning performance41
Development of a new high-precision friction test platform and experimental study of friction characteristics for pneumatic cylinders40
Generative adversarial network and transfer-learning-based fault detection for rotating machinery with imbalanced data condition40
Tool wear estimation using a CNN-transformer model with semi-supervised learning39
A novel performance trend prediction approach using ENBLS with GWO38
Adversarial domain adaptation with classifier alignment for cross-domain intelligent fault diagnosis of multiple source domains37
Bearing fault diagnosis based on optimized variational mode decomposition and 1D convolutional neural networks37
An ameliorated African vulture optimization algorithm to diagnose the rolling bearing defects36
Time-resolved particle image velocimetry36
Data augmentation for rolling bearing fault diagnosis using an enhanced few-shot Wasserstein auto-encoder with meta-learning36
Metal-oxide gas sensors for exhaled-breath analysis: a review36
Accuracy assessment of direct georeferencing UAV images with onboard global navigation satellite system and comparison of CORS/RTK surveying methods36
Airborne LiDAR: state-of-the-art of system design, technology and application35
An improved deep residual network with multiscale feature fusion for rotating machinery fault diagnosis35
Autocorrelation energy and aquila optimizer for MED filtering of sound signal to detect bearing defect in Francis turbine35
A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication35
A strip steel surface defect detection method based on attention mechanism and multi-scale maxpooling34
Bearing fault diagnosis method based on a multi-head graph attention network33
Remaining useful life prediction of lithium-ion batteries using EM-PF-SSA-SVR with gamma stochastic process33
LOSGAN: latent optimized stable GAN for intelligent fault diagnosis with limited data in rotating machinery33
An anti-noise fault diagnosis approach for rolling bearings based on multiscale CNN-LSTM and a deep residual learning model32
Landmark tracking in liver US images using cascade convolutional neural networks with long short-term memory32
Novel multi-scale dilated CNN-LSTM for fault diagnosis of planetary gearbox with unbalanced samples under noisy environment31
Multi-frequency-band deep CNN model for tool wear prediction31
Optical trapping and laser-spectroscopy measurements of single particles in air: a review31
An unsupervised bearing fault diagnosis based on deep subdomain adaptation under noise and variable load condition30
Three-dimensional confocal reflectance microscopy for surface metrology29
Improved VMD-FRFT based on initial center frequency for early fault diagnosis of rolling element bearing29
Clustering-based particle detection method for digital holography to detect the three-dimensional location and in-plane size of particles29
Weighted kurtosis-based VMD and improved frequency-weighted energy operator low-speed bearing-fault diagnosis29
Flow field tomography with uncertainty quantification using a Bayesian physics-informed neural network29
An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults29
Research on bearing fault diagnosis method based on transformer neural network29
An autoencoder with adaptive transfer learning for intelligent fault diagnosis of rotating machinery29
MEMS technology and applications in geotechnical monitoring: a review28
Extraction and enhancement of unknown bearing fault feature in the strong noise under variable speed condition28
Intelligent reading recognition method of a pointer meter based on deep learning in a real environment27
An intelligent fault diagnosis method for rolling bearings based on feature transfer with improved DenseNet and joint distribution adaptation27
New metrology for radon at the environmental level26
Roadmap on measurement technologies for next generation structural health monitoring systems26
Bearing fault diagnosis method based on multi-source heterogeneous information fusion26
Triple-temperature readout in luminescence thermometry with Cr3+-doped Mg2SiO4 operating from cryogenic to physiologically relevant temperatures25
A novel method for diagnosing bearing transfer faults based on a maximum mean discrepancies guided domain-adversarial mechanism25
Critical implementation issues of excitation signals for embedded wearable bioimpedance spectroscopy systems with limited resources25
Phase-aberration compensation via deep learning in digital holographic microscopy25
A novel multi-adversarial cross-domain neural network for bearing fault diagnosis25
Review of porosity uncertainty estimation methods in computed tomography dataset24
Electron microscopy in semiconductor inspection24
A thermographic data augmentation and signal separation method for defect detection24
Optical fiber SPR magnetic field sensor based on photonic crystal fiber with the magnetic fluid as cladding24
Multi-synchrosqueezing S-transform for fault diagnosis in rolling bearings24
Fault diagnosis of a rolling bearing based on the wavelet packet transform and a deep residual network with lightweight multi-branch structure24
AFM microfluidic cantilevers as weight sensors for live single cell mass measurements24
Deep domain adaptation with adversarial idea and coral alignment for transfer fault diagnosis of rolling bearing23
Point cloud segmentation based on Euclidean clustering and multi-plane extraction in rugged field23
Non-negative wavelet matrix factorization-based bearing fault intelligent classification method23
A two-stage CNN for automated tire defect inspection in radiographic image23
Unmanned aerial vehicle rotor fault diagnosis based on interval sampling reconstruction of vibration signals and a one-dimensional convolutional neural network deep learning method23
A simulation-data-driven subdomain adaptation adversarial transfer learning network for rolling element bearing fault diagnosis23
A novel intelligent diagnosis method of rolling bearing and rotor composite faults based on vibration signal-to-image mapping and CNN-SVM23
Multiscale holospectrum convolutional neural network-based fault diagnosis of rolling bearings with variable operating conditions22
A hybrid deep-learning model for fault diagnosis of rolling bearings in strong noise environments22
Improvement of spin polarization spatial uniformity in optically pumped atomic magnetometers based on counter-propagating pump beams and atomic diffusion22
Planetary gearbox fault diagnosis based on FDKNN-DGAT with few labeled data22
Emerging technologies in the field of thermometry22
A hybrid intelligent rolling bearing fault diagnosis method combining WKN-BiLSTM and attention mechanism22
Point cloud simplification algorithm based on the feature of adaptive curvature entropy22
Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network22
Compound fault diagnosis of rolling bearings based on improved tunable Q-factor wavelet transform22
Tire defect classification using a deep convolutional sparse-coding network21
An enhanced sparse filtering method for transfer fault diagnosis using maximum classifier discrepancy21
Spontaneous Raman scattering at trace gas concentrations with a pressurized external multipass cavity21
Multiview Wasserstein generative adversarial network for imbalanced pearl classification21
Augmented flame image soft sensor for combustion oxygen content prediction21
Multi-branch convolutional neural networks with integrated cross-entropy for fault diagnosis in diesel engines21
Defocus particle tracking: a comparison of methods based on model functions, cross-correlation, and neural networks21
Bearing fault diagnosis under various operation conditions using synchrosqueezing transform and improved two-dimensional convolutional neural network21
High sensitivity gas pressure sensor based on two parallel-connected Fabry–Perot interferometers and Vernier effect20
Mechanical fault diagnosis based on deep transfer learning: a review20
Enhancement of PIV measurements via physics-informed neural networks20
Fault diagnosis of planetary gears based on intrinsic feature extraction and deep transfer learning20
Acoustic emission source localisation for structural health monitoring of rail sections based on a deep learning approach20
A self-adaptive multiple-fault diagnosis system for rolling element bearings20
Adversarial domain adaptation of asymmetric mapping with CORAL alignment for intelligent fault diagnosis20
Improving accuracy of cavitation severity recognition in axial piston pumps by denoising time–frequency images19
Spatial attention-based convolutional transformer for bearing remaining useful life prediction19
Simplification of calibration of low-cost MEMS accelerometer and its temperature compensation without accurate laboratory equipment19
Numerical and experimental study on leakage detection for buried gas pipelines based on distributed optical fiber acoustic wave19
Fault diagnosis method of rotating bearing based on improved ensemble empirical mode decomposition and deep belief network19
Charting the course towards dimensional measurement traceability by x-ray computed tomography19
A rolling bearing fault diagnosis method using novel lightweight neural network19
A novel approach to tool condition monitoring based on multi-sensor data fusion imaging and an attention mechanism19
CASPPNet: a chained atrous spatial pyramid pooling network for steel defect detection19
Recent advances and applications of digital holography in multiphase reactive/nonreactive flows: a review19
Experimental investigation on vibro-acoustic techniques to detect and locate leakages in gas pipelines19
A safe and efficient LIDAR-based navigation system for 4WS4WD mobile manipulators in manufacturing plants19
Low-speed bearing fault diagnosis based on improved statistical filtering and convolutional neural network18
Rolling bearing remaining useful life prediction via weight tracking relevance vector machine18
Silicon drift detectors system for high-precision light kaonic atoms spectroscopy18
Bearing fault diagnosis using normalized diagnostic feature-gram and convolutional neural network18
A geometry-independent moment correction method for the MPMS3 SQUID-based magnetometer18
An ultrasonic signal processing method to improve defect depth estimation in composites based on empirical mode decomposition18
Remaining useful life prediction of bearings based on self-attention mechanism, multi-scale dilated causal convolution, and temporal convolution network18
A novel 3D laser scanning defect detection and measurement approach for automated fibre placement18
Research on weak signal detection of integral average digital lock-in amplifier18
An edge-labeling graph neural network method for tool wear condition monitoring using wear image with small samples18
Design of a wireless and fully flexible insole using a highly sensitive pressure sensor for gait event detection18
Bearing fault diagnosis based on CNN-BiLSTM and residual module18
A signal de-noising method for a MEMS gyroscope based on improved VMD-WTD18
Strip steel surface defect detecting method combined with a multi-layer attention mechanism network17
Development of a low-cost method for quantifying microplastics in soils and compost using near-infrared spectroscopy17
Wind turbine gearbox fault diagnosis based on an improved supervised autoencoder using vibration and motor current signals17
Magnetic position sensors17
Mixed kernel principal component weighted regression based on just-in-time learning for soft sensor modeling17
A hybrid FBG-based load and vibration transducer with a 3D fused deposition modelling approach17
A novel 1DCNN and domain adversarial transfer strategy for small sample GIS partial discharge pattern recognition17
High-sensitivity and low-interference gas analyzer with feature extraction from mid-infrared laser absorption-modulated signal17
Gearbox compound fault diagnosis based on a combined MSGMD–MOMEDA method17
Planar capacitive imaging for composite delamination damage characterization17
A blind deconvolution algorithm based on backward automatic differentiation and its application to rolling bearing fault diagnosis17
Bearing fault diagnosis method using the joint feature extraction of Transformer and ResNet17
A new approach to COVID-19 detection from x-ray images using angle transformation with GoogleNet and LSTM17
An improved TDCP-GNSS/INS integration scheme considering small cycle slip for low-cost land vehicular applications17
Application of a whale optimized variational mode decomposition method based on envelope sample entropy in the fault diagnosis of rotating machinery17
Quantify pixel-level detection of dam surface crack using deep learning17
Design and analysis of high-frequency fiber Bragg grating vibration sensor16
Rigorous 3D modeling of confocal microscopy on 2D surface topographies16
An optimized stacked diagnosis structure for fault diagnosis of wind turbine planetary gearbox16
Continuous approximation of the ZARC element with passive components16
A deep ensemble dense convolutional neural network for rolling bearing fault diagnosis16
Improved robust and adaptive filter based on non-holonomic constraints for RTK/INS integrated navigation16
Obstacle detection in dangerous railway track areas by a convolutional neural network16
Quantum-cascade-laser-based dual-comb thermometry and speciation at high temperatures16
Bearing fault diagnosis by combining a deep residual shrinkage network and bidirectional LSTM16
An adaptive spectrum segmentation-based optimized VMD method and its application in rolling bearing fault diagnosis16
A brief review of magnetic anomaly detection16
Research on a fault diagnosis method for rolling bearing based on improved multiscale range entropy and hierarchical prototype16
Robust laser stripe extraction for 3D measurement of complex objects16
A semi-supervised fault diagnosis method for axial piston pump bearings based on DCGAN16
An improved intrinsic time-scale decomposition method based on adaptive noise and its application in bearing fault feature extraction16
Weak signal enhancement for rolling bearing fault diagnosis based on adaptive optimized VMD and SR under strong noise background16
Guided ultrasonic waves propagation imaging: a review16
Visual SLAM based on instance segmentation in dynamic scenes16
Roadmap on signal processing for next generation measurement systems16
Radius and roundness measurement of micro spheres based on a set of AFM surface scans16
Multimodal convolutional neural network model with information fusion for intelligent fault diagnosis in rotating machinery16
Surface temperature condition monitoring methods for aerospace turbomachinery: exploring the use of ultrasonic guided waves15
Cost-effective, vision-based multi-target tracking approach for structural health monitoring15
Binocular visual dimension measurement method for rectangular workpiece with a precise stereoscopic matching algorithm15
An intelligent method of roller bearing fault diagnosis and fault characteristic frequency visualization based on improved MobileNet V315
Extended tuning of distributed-feedback lasers in a bias-tee circuit via waveform optimization for MHz-rate absorption spectroscopy15
Wasserstein distance based Asymmetric Adversarial Domain Adaptation in intelligent bearing fault diagnosis15
Performance comparison of particle tracking velocimetry (PTV) and particle image velocimetry (PIV) with long-exposure particle streaks15
PMENet: phase map enhancement for Fourier transform profilometry using deep learning15
Accurate and dynamic 3D shape measurement with digital image correlation-assisted phase shifting15
A meshless method to compute pressure fields from image velocimetry15
Using convolutional neural network for intelligent SAM inspection of flip chips15
A motor-imagery channel-selection method based on SVM-CCA-CS15
Fast nonlinear Hoyergram for bearings fault diagnosis under random impact interference15
A novel fault diagnosis method of wind turbine bearings based on compressed sensing and AlexNet15
Rotating machinery fault diagnosis based on impact feature extraction deep neural network15
X-ray fluorescence spectroscopic analysis of trace elements in soil with an Adaboost back propagation neural network and multivariate-partial least squares regression15
Simultaneous measurement of pressure and temperature in a supersonic ejector using FBG sensors15
A novel CNN ensemble framework for bearing surface defects classification based on transfer learning15
Rolling bearing fault diagnosis method based on multi-sensor two-stage fusion15
Single-particle optical-trapping Raman spectroscopy for the detection and identification of aerosolized airborne biological particles15
An intelligent vision recognition method based on deep learning for pointer meters15
An educational review on distributed optic fiber sensing based on Rayleigh backscattering for damage tracking and structural health monitoring15
Large area silicon drift detectors system for high precision timed x-ray spectroscopy15
A dense RGB-D SLAM algorithm based on convolutional neural network of multi-layer image invariant feature14
A planetary gearbox fault diagnosis method based on time-series imaging feature fusion and a transformer model14
Intelligent chatter detection for CNC machine based on RFE multi-feature selection strategy14
Dynamic simulation of a cylindrical roller bearing with a local defect by combining finite element and lumped parameter models14
Multi-sensor signal fusion for a compound fault diagnosis method with strong generalization and noise-tolerant performance14
Flow visualization: state-of-the-art development of micro-particle image velocimetry14
Speeded-Up Robust Features-based image mosaic method for large-scale microscopic hyperspectral pathological imaging14
Acoustic-based method for identifying surface damage to wind turbine blades by using a convolutional neural network14
Semantic SLAM for mobile robots in dynamic environments based on visual camera sensors14
A novel wind turbine fault diagnosis based on deep transfer learning of improved residual network and multi-target data14
Data augmentation by a CycleGAN-based extra-supervised model for nondestructive testing14
Bearing fault diagnosis based on inverted Mel-scale frequency cepstral coefficients and deformable convolution networks14
Matching and reassignment based time-frequency enhancement for rotating machinery fault diagnosis under nonstationary speed operations14
Crack width identification for underwater concrete structures using temperature tracer method14
A new meta-transfer learning method with freezing operation for few-shot bearing fault diagnosis14
Liquid film characteristics measurement based on NIR in gas–liquid vertical annular upward flow14
Tomographic reconstruction of light field PIV based on a backward ray-tracing technique14
A novel transfer learning fault diagnosis method for rolling bearing based on feature correlation matching13
Soil organic matter determination based on artificial olfactory system and PLSR-BPNN13
Perspective on the development and application of light-field cameras in flow diagnostics13
Robust cepstral analysis at variable wavelength scan depth for narrowband tunable laser absorption spectroscopy13
A novel cooling hole inspection method for turbine blade using 3D reconstruction of stereo vision13
Sparse representation based on generalized smooth logarithm regularization for bearing fault diagnosis13
Unscented Kalman-filter-based simultaneous diagnostic scheme for gas-turbine gas path and sensor faults13
Recent advances and perspectives in GNSS PPP-RTK13
An investigation of real-time GPS/GLONASS single-frequency precise point positioning and its atmospheric mitigation strategies13
Fault diagnosis of a planetary gearbox based on a local bi-spectrum and a convolutional neural network13
Numerical method to predict vibration characteristics induced by cavitation in centrifugal pumps13
Rolling bearing transfer fault diagnosis method based on adversarial variational autoencoder network13
Learning a superficial correlated representation using a local mapping strategy for bearing performance degradation assessment13
Rotating machinery fault diagnosis based on optimized Hilbert curve images and a novel bi-channel CNN with attention mechanism13
Identification of low energy nuclear recoils in a gas time projection chamber with optical readout13
A novel transfer-learning method based on selective normalization for fault diagnosis with limited labeled data13
An improved neural network method for aeromagnetic compensation13
GNSS/INS/ODO/wheel angle integrated navigation algorithm for an all-wheel steering robot13
Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization13
Single harmonic-based narrowband magnetic particle imaging13
A novel adaptive Kalman filter for Euler-angle-based MEMS IMU/magnetometer attitude estimation13
A wavelet-based separation method for tonal and broadband components of low Reynolds-number propeller noise13
Pressure-sensitive paint measurements with temperature correction on the wing of AGARD-B under transonic flow conditions13
Deep domain adversarial method with central moment discrepancy for intelligent transfer fault diagnosis13
An advanced Wigner–Ville time–frequency analysis of Lamb wave signals based upon an autoregressive model for efficient damage inspection13
Data-augmented patch variational autoencoding generative adversarial networks for rolling bearing fault diagnosis13
Adaptive multiple second-order synchrosqueezing wavelet transform and its application in wind turbine gearbox fault diagnosis13
Micro-force sensing techniques and traceable reference forces: a review13
A novel deep neural network based on an unsupervised feature learning method for rotating machinery fault diagnosis13
An analysis of detectable leakage rate for oil pipelines based on acoustic wave method13
Identification and quantification of gases and their mixtures using GaN sensor array and artificial neural network13
Explainable 1DCNN with demodulated frequency features method for fault diagnosis of rolling bearing under time-varying speed conditions13
Focused laser differential interferometer response to shock waves13
The calibration method of the circle-structured light measurement system for inner surfaces considering systematic errors13
Interferometric device for the in-process measurement of diameter variation in the manufacture of ultraprecise spheres13
Coal gangue recognition using multichannel auditory spectrogram of hydraulic support sound in convolutional neural network13
Novel trajectory prediction algorithms for hypersonic gliding vehicles based on maneuver mode on-line identification and intent inference13
Vehicle platform attitude estimation method based on adaptive Kalman filter and sliding window least squares13
Multi-sensor heterogeneous data fusion method for rotor system diagnosis based on multi-mode residual network and discriminant correlation analysis13
An attention-enhanced multi-modal deep learning algorithm for robotic compound fault diagnosis12
Adaptive singular value decomposition for bearing fault diagnosis under strong noise interference12
The calibration method for accelerometers in the redundant MEMS inertial navigation system12
A fuzzy adaptive extended Kalman filter exploiting the student's t distribution for mobile robot tracking12
Stochastic particle advection velocimetry (SPAV): theory, simulations, and proof-of-concept experiments12
Practical speed measurement for an intelligent vehicle based on double Radon transform in urban traffic scenarios12
A bearing fault feature extraction method based on optimized singular spectrum decomposition and linear predictor12
A simple and precise calibration method for binocular vision12
A method for mechanical fault recognition with unseen classes via unsupervised convolutional adversarial auto-encoder12
Phononic-fluidic cavity sensors for high-resolution measurement of concentration and speed of sound in liquid solutions and mixtures12
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