Mechanical Systems and Signal Processing

Article	Citations
1D convolutional neural networks and applications: A survey	1287
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications	717
A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges	414
Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review	338
A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings	211
Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis	210
Digital twin-driven intelligent assessment of gear surface degradation	199
The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study	199
A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings	198
A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning	195
A review of vibration-based gear wear monitoring and prediction techniques	181
Vibration control based metamaterials and origami structures: A state-of-the-art review	173
Digital twin, physics-based model, and machine learning applied to damage detection in structures	170
Multistability phenomenon in signal processing, energy harvesting, composite structures, and metamaterials: A review	169
A spatial coupling model to study dynamic performance of pantograph-catenary with vehicle-track excitation	164
A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis	161
An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery	157
Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution	156
A fault information-guided variational mode decomposition (FIVMD) method for rolling element bearings diagnosis	152
A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery	151
Metamaterial beam with graded local resonators for broadband vibration suppression	150
Residual joint adaptation adversarial network for intelligent transfer fault diagnosis	148
Vibration feature extraction using signal processing techniques for structural health monitoring: A review	147
CNN-LSTM deep learning architecture for computer vision-based modal frequency detection	142
Bearing fault diagnosis via generalized logarithm sparse regularization	139

Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions	135
Structural health monitoring using wireless smart sensor network – An overview	134
Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks	131
Data synthesis using deep feature enhanced generative adversarial networks for rolling bearing imbalanced fault diagnosis	131
A hybrid piezo-dielectric wind energy harvester for high-performance vortex-induced vibration energy harvesting	130
A review on the application of blind deconvolution in machinery fault diagnosis	127
Practical framework of Gini index in the application of machinery fault feature extraction	125
A novel method based on meta-learning for bearing fault diagnosis with small sample learning under different working conditions	124
Recursive sliding mode control with adaptive disturbance observer for a linear motor positioner	124
Hybrid composite meta-porous structure for improving and broadening sound absorption	124
A semi-active suspension using a magnetorheological damper with nonlinear negative-stiffness component	123
A bio-inspired isolator based on characteristics of quasi-zero stiffness and bird multi-layer neck	121
Knowledge mapping-based adversarial domain adaptation: A novel fault diagnosis method with high generalizability under variable working conditions	119
Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network	118
Rolling element bearing diagnosis based on singular value decomposition and composite squared envelope spectrum	115
Deep discriminative transfer learning network for cross-machine fault diagnosis	114
Physics-Informed LSTM hyperparameters selection for gearbox fault detection	111
A theory for bistable vibration isolators	109
Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnostics	109
Increase of quasi-zero stiffness region using two pairs of oblique springs	108
Precise cutterhead torque prediction for shield tunneling machines using a novel hybrid deep neural network	107
Damage localization in plate-like structures using time-varying feature and one-dimensional convolutional neural network	106
Structural Health Monitoring using deep learning with optimal finite element model generated data	106
Imbalanced fault diagnosis of rolling bearing using improved MsR-GAN and feature enhancement-driven CapsNet	106
Response time of magnetorheological dampers to current inputs in a semi-active suspension system: Modeling, control and sensitivity analysis	103
A novel Fast Entrogram and its applications in rolling bearing fault diagnosis	101
A novel nonlinear mechanical oscillator and its application in vibration isolation and energy harvesting	99
A novel load-dependent sensor placement method for model updating based on time-dependent reliability optimization considering multi-source uncertainties	97
Enhancing energy harvesting in low-frequency rotational motion by a quad-stable energy harvester with time-varying potential wells	97
Skidding dynamic performance of rolling bearing with cage flexibility under accelerating conditions	96
Vibration-based anomaly detection using LSTM/SVM approaches	96
An origami inspired quasi-zero stiffness vibration isolator using a novel truss-spring based stack Miura-ori structure	95
Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review	94
CNN and Convolutional Autoencoder (CAE) based real-time sensor fault detection, localization, and correction	93
A fault diagnosis method for wind turbines gearbox based on adaptive loss weighted meta-ResNet under noisy labels	93
Transient wave-based methods for anomaly detection in fluid pipes: A review	92
Asynchronous fault detection filtering for piecewise homogenous Markov jump linear systems via a dual hidden Markov model	92
A device capable of customizing nonlinear forces for vibration energy harvesting, vibration isolation, and nonlinear energy sink	91
Fully interpretable neural network for locating resonance frequency bands for machine condition monitoring	91
Theoretical and experimental investigation on the influences of misalignment on the lubrication performances and lubrication regimes transition of water lubricated bearing	90
Nonlinear vibration characteristics of fibre reinforced composite cylindrical shells in thermal environment	90
Adaptive maximum second-order cyclostationarity blind deconvolution and its application for locomotive bearing fault diagnosis	90
A comprehensive review of acoustic based leak localization method in pressurized pipelines	90
Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating conditions	87
Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution	87
A review of recent studies on piezoelectric pumps and their applications	87
Online condition monitoring of floating wind turbines drivetrain by means of digital twin	87
Foundations of population-based SHM, Part III: Heterogeneous populations – Mapping and transfer	86
Oversampling adversarial network for class-imbalanced fault diagnosis	85
Normalized Conditional Variational Auto-Encoder with adaptive Focal loss for imbalanced fault diagnosis of Bearing-Rotor system	85

An overview of acoustic emission inspection and monitoring technology in the key components of renewable energy systems	85
Optimal design of tuned mass damper inerter with a Maxwell element for mitigating the vortex-induced vibration in bridges	85
Investigation of an ultra-low frequency piezoelectric energy harvester with high frequency up-conversion factor caused by internal resonance mechanism	84
Bio-inspired toe-like structure for low-frequency vibration isolation	84
Unknown fault feature extraction of rolling bearings under variable speed conditions based on statistical complexity measures	84
A generalized class of uniaxial rate-independent models for simulating asymmetric mechanical hysteresis phenomena	84
Bandgap properties in metamaterial sandwich plate with periodically embedded plate-type resonators	84
Characterizing nonlinear characteristics of asymmetric tristable energy harvesters	84
In-situ adjustable nonlinear passive stiffness using X-shaped mechanisms	83
Fault diagnosis of rolling bearing based on empirical mode decomposition and improved manhattan distance in symmetrized dot pattern image	83
Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults	82
Analysis of different RNN autoencoder variants for time series classification and machine prognostics	82
A smoothed iFEM approach for efficient shape-sensing applications: Numerical and experimental validation on composite structures	82
Neural adaptive control of single-rod electrohydraulic system with lumped uncertainty	81
Ball bearing skidding and over-skidding in large-scale angular contact ball bearings: Nonlinear dynamic model with thermal effects and experimental results	81
Theoretical and experimental research on the micro interface lubrication regime of water lubricated bearing	81
A comprehensive review on blade tip timing-based health monitoring: status and future	80
Deep convolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gear fault diagnosis under data limitations	80
Polytopic LPV approaches for intelligent automotive systems: State of the art and future challenges	79
Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process	79
Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis	79
Recursive variational mode extraction and its application in rolling bearing fault diagnosis	79
Dynamic modeling and stability analysis of a rotor-bearing system with bolted-disk joint	78
Optimal sensor placement methodology of hydraulic control system for fault diagnosis	77
A comb-like beam based piezoelectric system for galloping energy harvesting	77
Coupling dynamic behaviors of flexible stretching hub-beam system	76
High-speed train wheel set bearing fault diagnosis and prognostics: A new prognostic model based on extendable useful life	76
Tool coating effects on cutting temperature during metal cutting processes: Comprehensive review and future research directions	76
Intelligent bearing fault diagnosis method combining mixed input and hybrid CNN-MLP model	75
Foundations of population-based SHM, Part I: Homogeneous populations and forms	75
Real-time assessment of asphalt pavement moduli and traffic loads using monitoring data from Built-in Sensors: Optimal sensor placement and identification algorithm	74
Output feedback backstepping control of hydraulic actuators with valve dynamics compensation	74
Milling chatter detection by multi-feature fusion and Adaboost-SVM	74
Dynamic modelling of the defect extension and appearance in a cylindrical roller bearing	74
Measurement of full-field displacement time history of a vibrating continuous edge from video	73
A label description space embedded model for zero-shot intelligent diagnosis of mechanical compound faults	73
A novel integrated quasi-zero stiffness vibration isolator for coupled translational and rotational vibrations	72
Foundations of Population-based SHM, Part II: Heterogeneous populations – Graphs, networks, and communities	72
An improved partial similitude method for dynamic characteristic of rotor systems based on Levenberg–Marquardt method	72
Online oil debris monitoring of rotating machinery: A detailed review of more than three decades	71
Parameter sharing adversarial domain adaptation networks for fault transfer diagnosis of planetary gearboxes	71
Multiscale symbolic fuzzy entropy: An entropy denoising method for weak feature extraction of rotating machinery	71
Nonlinear energy sink with limited vibration amplitude	71
Bayesian variational transformer: A generalizable model for rotating machinery fault diagnosis	71
Deep morphological convolutional network for feature learning of vibration signals and its applications to gearbox fault diagnosis	71
Experimental and numerical study of high-order complex curvature mode shape and mode coupling on a three-bladed wind turbine assembly	70
Fluid-induced vibration evolution mechanism of multiphase free sink vortex and the multi-source vibration sensing method	70
Nonlinear tribo-dynamic model and experimental verification of a spur gear drive under loss-of-lubrication condition	70
Sampling methods for solving Bayesian model updating problems: A tutorial	70
Assessment of various seismic fragility analysis approaches for structures excited by non-stationary stochastic ground motions	70
STFT spectrogram based hybrid evaluation method for rotating machine transient vibration analysis	70
An investigation on the lubrication characteristics of floating ring bearing with consideration of multi-coupling factors	69
Pillared elastic metasurface with constructive interference for flexural wave manipulation	69
Box-Cox sparse measures: A new family of sparse measures constructed from kurtosis and negative entropy	69
A dual quasi-zero-stiffness sliding-mode triboelectric nanogenerator for harvesting ultralow-low frequency vibration energy	68
Nonlinear damping and mass effects of electromagnetic shunt damping for enhanced nonlinear vibration isolation	68
Modeling and experimental investigation of a novel bistable two-degree-of-freedom electromagnetic energy harvester	68
Theoretical and experimental exploration into the fluid structure coupling dynamic behaviors towards water-lubricated bearing with axial asymmetric grooves	68
Classification and unified phenomenological modeling of complex uniaxial rate-independent hysteretic responses	68
Weak fault feature extraction of rolling bearings based on improved ensemble noise-reconstructed EMD and adaptive threshold denoising	67
A compact X-shaped mechanism based 3-DOF anti-vibration unit with enhanced tunable QZS property	67
Universal source-free domain adaptation method for cross-domain fault diagnosis of machines	67
Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump	67
Center-based Transfer Feature Learning With Classifier Adaptation for surface defect recognition	66
Electromechanical energy absorption, resonance frequency, and low-velocity impact analysis of the piezoelectric doubly curved system	66
A unified analysis framework of static and dynamic structural reliabilities based on direct probability integral method	66
Design and dynamic characterization of a large-scale eddy current damper with enhanced performance for vibration control	66
Validation of vibration-based structural health monitoring on retrofitted railway bridge KW51	66
Weighted domain adaptation networks for machinery fault diagnosis	66
A theoretical dynamic model to study the vibration response characteristics of an axial piston pump	65
Automated fatigue damage detection and classification technique for composite structures using Lamb waves and deep autoencoder	65
Effects of three types of bearing misalignments on dynamic characteristics of planetary gear set-rotor system	65
Vibration characteristics and condition monitoring of internal radial clearance within a ball bearing in a gear-shaft-bearing system	65
Multimodal optical excitation pulsed thermography: Enhanced recognize debonding defects of the solid propellant rocket motor cladding layer	64
The applications of POD method in dual rotor-bearing systems with coupling misalignment	64
A broadband piezo-electromagnetic hybrid energy harvester under combined vortex-induced and base excitations	64
Creating acoustic topological insulators through topology optimization	63
A novel percussion-based method for multi-bolt looseness detection using one-dimensional memory augmented convolutional long short-term memory networks	63
Explainable 1-D convolutional neural network for damage detection using Lamb wave	63
Interpretable convolutional neural network with multilayer wavelet for Noise-Robust Machinery fault diagnosis	63

AK-DS: An adaptive Kriging-based directional sampling method for reliability analysis	63
A novel two-step strategy of non-probabilistic multi-objective optimization for load-dependent sensor placement with interval uncertainties	62
A state-of-the-art review on uncertainty analysis of rotor systems	62
Two-stage physics-based Wiener process models for online RUL prediction in field vibration data	62
Deep partial transfer learning network: A method to selectively transfer diagnostic knowledge across related machines	61
Condition monitoring and intelligent diagnosis of rolling element bearings under constant/variable load and speed conditions	61
A comprehensive review of loosening detection methods for threaded fasteners	61
Design and analysis of a broadband three-beam impact piezoelectric energy harvester for low-frequency rotational motion	61
Bayesian transfer learning with active querying for intelligent cross-machine fault prognosis under limited data	61
Path-following control of Mecanum-wheels omnidirectional mobile robots using nonsingular terminal sliding mode	61
Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective	60
The Harmogram: A periodic impulses detection method and its application in bearing fault diagnosis	60
Moment matching-based intraclass multisource domain adaptation network for bearing fault diagnosis	60
Design, analysis and optimization of a hybrid fluid flow magnetorheological damper based on multiphysics coupling model	60
An artificial neural network methodology for damage detection: Demonstration on an operating wind turbine blade	60
Battery health management using physics-informed machine learning: Online degradation modeling and remaining useful life prediction	59
Mechanoelectrical flexible hub-beam model of ionic-type solvent-free nanofluids	59
An adaptive hierarchical decomposition-based method for multi-step cutterhead torque forecast of shield machine	59
Flexural wave attenuation by metamaterial beam with compliant quasi-zero-stiffness resonators	59
Adaptive periodic mode decomposition and its application in rolling bearing fault diagnosis	59
A noise reduction method based on adaptive weighted symplectic geometry decomposition and its application in early gear fault diagnosis	59
A time-frequency spectral amplitude modulation method and its applications in rolling bearing fault diagnosis	59
Value of information from vibration-based structural health monitoring extracted via Bayesian model updating	59
Autocorrelated Envelopes for early fault detection of rolling bearings	59
Extraction of descriptive driving patterns from driving data using unsupervised algorithms	58
Vehicle sideslip angle estimation using deep ensemble-based adaptive Kalman filter	58
On the detailed design of a quasi-zero stiffness device to assist in the realisation of a translational Lanchester damper	58
Informative frequency band selection in the presence of non-Gaussian noise – a novel approach based on the conditional variance statistic with application to bearing fault diagnosis	58
A review of online condition monitoring and maintenance strategy for cylinder liner-piston rings of diesel engines	58
Research and applications of active bearings: A state-of-the-art review	58
Deep learning for the identification of bruised apples by fusing 3D deep features for apple grading systems	57
Vibration characteristics of rotor-bearing system with angular misalignment and cage fracture: Simulation and experiment	57
Data-driven simultaneous identification of the 6DOF dynamic model and wave load for a ship in waves	57
Time-frequency ridge estimation: An effective tool for gear and bearing fault diagnosis at time-varying speeds	57
Multi-rate strong tracking square-root cubature Kalman filter for MEMS-INS/GPS/polarization compass integrated navigation system	57
Evaluation framework for smart disaster response systems in uncertainty environment	57
Stiffening near-net-shape functional parts of Inconel 718 LPBF considering material anisotropy and subsequent machining issues	57
A stick-slip piezoelectric actuator with measurable contact force	57
Maximum average kurtosis deconvolution and its application for the impulsive fault feature enhancement of rotating machinery	56
Topological cavities in phononic plates for robust energy harvesting	56
A novel correntropy-based band selection method for the fault diagnosis of bearings under fault-irrelevant impulsive and cyclostationary interferences	56
Fundamental mode shape estimation and element stiffness evaluation of girder bridges by using passing tractor-trailers	56
Development of a piezoelectrically actuated dual-stage fast tool servo	56
A domain generalization network combing invariance and specificity towards real-time intelligent fault diagnosis	56
Cyclostationary-based Multiband Envelope Spectra Extraction for bearing diagnostics: The Combined Improved Envelope Spectrum	56
Investigation of the orbit-spinning behaviors of the outer ring in a full ceramic ball bearing-steel pedestal system in wide temperature ranges	56
Deep learning for brake squeal: Brake noise detection, characterization and prediction	56
A chatter detection method in milling of thin-walled TC4 alloy workpiece based on auto-encoding and hybrid clustering	56
A kNN algorithm for locating and quantifying stiffness loss in a bridge from the forced vibration due to a truck crossing at low speed	56
Ensemble regression based on polynomial regression-based decision tree and its application in the in-situ data of tunnel boring machine	55
Machine learning based prediction of piezoelectric energy harvesting from wake galloping	55
A multi-directional multi-stable device: Modeling, experiment verification and applications	55
Estimation of tire-road peak adhesion coefficient for intelligent electric vehicles based on camera and tire dynamics information fusion	55
An unsupervised feature learning based health indicator construction method for performance assessment of machines	55
Dynamically synergistic regulation mechanism for rotation energy harvesting	55
Vehicle sideslip angle estimation by fusing inertial measurement unit and global navigation satellite system with heading alignment	55
Experimental and theoretical approaches for determining cage motion dynamic characteristics of angular contact ball bearings considering whirling and overall skidding behaviors	55
Shape sensing and damage identification with iFEM on a composite structure subjected to impact damage and non-trivial boundary conditions	54
A data-driven normal contact force model based on artificial neural network for complex contacting surfaces	54
An adaptive sensor placement algorithm for structural health monitoring based on multi-objective iterative optimization using weight factor updating	54
A framework for quantifying the value of vibration-based structural health monitoring	54
Wavelet transform for rotary machine fault diagnosis:10 years revisited	54
Amplitude-dependent damping characteristics of all-composite sandwich plates with a foam-filled hexagon honeycomb core	53
Estimation on IMU yaw misalignment by fusing information of automotive onboard sensors	53
Towards high milling accuracy of turbine blades: A review	53
A self-data-driven method for remaining useful life prediction of wind turbines considering continuously varying speeds	53
Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling	53
A quality-based automated procedure for operational modal analysis	53
On reliability analysis method through rotational sparse grid nodes	53
Nonlinear responses of a dual-rotor system with rub-impact fault subject to interval uncertain parameters	53
Robust adaptive motion tracking of piezoelectric actuated stages using online neural-network-based sliding mode control	53
Non-contact structural displacement measurement using Unmanned Aerial Vehicles and video-based systems	53
Planetary gearbox fault diagnosis via rotary encoder signal analysis	53
Enhancing vortex-induced vibrations of a cylinder with rod attachments for hydrokinetic power generation	53
Electroelastic high-order computational continuum strategy for critical voltage and frequency of piezoelectric NEMS via modified multi-physical couple stress theory	52
A generalized cauchy method for remaining useful life prediction of wind turbine gearboxes	52
Nussbaum-based finite-time fractional-order backstepping fault-tolerant flight control of fixed-wing UAV against input saturation with hardware-in-the-loop validation	52
Sound singularity analysis for milling tool condition monitoring towards sustainable manufacturing	51
Frequency response of water hammer with fluid-structure interaction in a viscoelastic pipe	51
A distributed dynamic load identification method based on the hierarchical-clustering-oriented radial basis function framework using acceleration signals under convex-fuzzy hybrid uncertainties	51
Visual inspection of steel surface defects based on domain adaptation and adaptive convolutional neural network	51
Vibration fatigue dynamic stress simulation under non-stationary state	51
A combined finite element and hierarchical Deep learning approach for structural health monitoring: Test on a pin-joint composite truss structure	51
Online unsupervised detection of structural changes using train–induced dynamic responses	51
Fast nonlinear blind deconvolution for rotating machinery fault diagnosis	51
A nonlinear quasi-zero-stiffness vibration isolation system with additional X-shaped structure: Theory and experiment	50
An equivalent model of a nonlinear bolted flange joint	50
Vibration mechanism analysis for cylindrical roller bearings with single/multi defects and compound faults	50
Frequency-dependency/independency analysis of damping magnification effect provided by tuned inerter absorber and negative stiffness amplifying damper considering soil-structure interaction	50
In-process stochastic tool wear identification and its application to the improved cutting force modeling of micro milling	50
Smart crawfish: A concept of underwater multi-bolt looseness identification using entropy-enhanced active sensing and ensemble learning	50
An approach to the solution of nonlinear forced vibration problem of structural systems reinforced with advanced materials in the presence of viscous damping	50
Dynamic analysis and time optimal anti-swing control of double pendulum bridge crane with distributed mass beams	50
A general multi-objective optimized wavelet filter and its applications in fault diagnosis of wheelset bearings	50
Physics-informed machine learning model for battery state of health prognostics using partial charging segments	50