Mechanical Systems and Signal Processing

Article	Citations
Applications of machine learning to machine fault diagnosis: A review and roadmap	1338
1D convolutional neural networks and applications: A survey	1018
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications	580
Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances	340
A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges	316
A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks	284
Signal based condition monitoring techniques for fault detection and diagnosis of induction motors: A state-of-the-art review	268
Damage detection techniques for wind turbine blades: A review	197
A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings	185
Recent progress of chatter prediction, detection and suppression in milling	182
A new data-driven transferable remaining useful life prediction approach for bearing under different working conditions	174
Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis	172
A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning	167
A spatial coupling model to study dynamic performance of pantograph-catenary with vehicle-track excitation	148
A novel anomaly detection method based on adaptive Mahalanobis-squared distance and one-class kNN rule for structural health monitoring under environmental effects	144
A review on control strategies for compensation of hysteresis and creep on piezoelectric actuators based micro systems	142
A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis	141
Digital twin, physics-based model, and machine learning applied to damage detection in structures	139
Fault feature extraction of rotating machinery using a reweighted complete ensemble empirical mode decomposition with adaptive noise and demodulation analysis	139
An improved genetic algorithm optimization fuzzy controller applied to the wellhead back pressure control system	138
Multistability phenomenon in signal processing, energy harvesting, composite structures, and metamaterials: A review	138
An enhanced selective ensemble deep learning method for rolling bearing fault diagnosis with beetle antennae search algorithm	134
Residual joint adaptation adversarial network for intelligent transfer fault diagnosis	134
Meshing and dynamic characteristics analysis of spalled gear systems: A theoretical and experimental study	134
Deep digital twins for detection, diagnostics and prognostics	133

A fault information-guided variational mode decomposition (FIVMD) method for rolling element bearings diagnosis	132
Metamaterial beam with graded local resonators for broadband vibration suppression	128
Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution	127
A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings	126
A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery	126
Vibration control based metamaterials and origami structures: A state-of-the-art review	125
Application of neural network algorithm in fault diagnosis of mechanical intelligence	124
A review of vibration-based gear wear monitoring and prediction techniques	124
The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study	123
The sum of weighted normalized square envelope: A unified framework for kurtosis, negative entropy, Gini index and smoothness index for machine health monitoring	122
Bearing fault diagnosis via generalized logarithm sparse regularization	121
An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery	116
CNN-LSTM deep learning architecture for computer vision-based modal frequency detection	113
Hybrid composite meta-porous structure for improving and broadening sound absorption	113
A hybrid piezo-dielectric wind energy harvester for high-performance vortex-induced vibration energy harvesting	113
A rotating machinery fault diagnosis method based on multi-scale dimensionless indicators and random forests	111
Digital twin-driven intelligent assessment of gear surface degradation	111
Recursive sliding mode control with adaptive disturbance observer for a linear motor positioner	110
Knowledge mapping-based adversarial domain adaptation: A novel fault diagnosis method with high generalizability under variable working conditions	107
Structural health monitoring using wireless smart sensor network – An overview	105
Deep representation clustering-based fault diagnosis method with unsupervised data applied to rotating machinery	103
Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks	103
A bio-inspired isolator based on characteristics of quasi-zero stiffness and bird multi-layer neck	102
Design and experimental investigation of ultra-low frequency vibration isolation during neonatal transport	102
Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions	100
Blind filters based on envelope spectrum sparsity indicators for bearing and gear vibration-based condition monitoring	100
A novel bio-inspired multi-joint anti-vibration structure and its nonlinear HSLDS properties	99
A semi-active suspension using a magnetorheological damper with nonlinear negative-stiffness component	98
Data synthesis using deep feature enhanced generative adversarial networks for rolling bearing imbalanced fault diagnosis	98
Vibration feature extraction using signal processing techniques for structural health monitoring: A review	97
Reliability of response region: A novel mechanism in visual tracking by edge computing for IIoT environments	97
Practical framework of Gini index in the application of machinery fault feature extraction	96
A theory for bistable vibration isolators	94
A review on the application of blind deconvolution in machinery fault diagnosis	93
Rolling element bearing diagnosis based on singular value decomposition and composite squared envelope spectrum	93
Damage localization in plate-like structures using time-varying feature and one-dimensional convolutional neural network	91
A novel method based on meta-learning for bearing fault diagnosis with small sample learning under different working conditions	89
Precise cutterhead torque prediction for shield tunneling machines using a novel hybrid deep neural network	88
A novel model with the ability of few-shot learning and quick updating for intelligent fault diagnosis	88
Increase of quasi-zero stiffness region using two pairs of oblique springs	88
Asynchronous fault detection filtering for piecewise homogenous Markov jump linear systems via a dual hidden Markov model	85
A novel nonlinear mechanical oscillator and its application in vibration isolation and energy harvesting	85
Skidding dynamic performance of rolling bearing with cage flexibility under accelerating conditions	85
A novel Fast Entrogram and its applications in rolling bearing fault diagnosis	84
Structural Health Monitoring using deep learning with optimal finite element model generated data	84
On the application of domain adaptation in structural health monitoring	83
Subband averaging kurtogram with dual-tree complex wavelet packet transform for rotating machinery fault diagnosis	83
Data management techniques for Internet of Things	82
Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating conditions	82
Response time of magnetorheological dampers to current inputs in a semi-active suspension system: Modeling, control and sensitivity analysis	81

Enhancing energy harvesting in low-frequency rotational motion by a quad-stable energy harvester with time-varying potential wells	81
An improved variational mode decomposition method based on particle swarm optimization for leak detection of liquid pipelines	81
Transient wave-based methods for anomaly detection in fluid pipes: A review	80
Imbalanced fault diagnosis of rolling bearing using improved MsR-GAN and feature enhancement-driven CapsNet	80
Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review	79
A generalized class of uniaxial rate-independent models for simulating asymmetric mechanical hysteresis phenomena	77
Theoretical and experimental research on the micro interface lubrication regime of water lubricated bearing	77
Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network	77
A device capable of customizing nonlinear forces for vibration energy harvesting, vibration isolation, and nonlinear energy sink	76
An origami inspired quasi-zero stiffness vibration isolator using a novel truss-spring based stack Miura-ori structure	76
A fault diagnosis method for wind turbines gearbox based on adaptive loss weighted meta-ResNet under noisy labels	76
Non-contact vibration monitoring of rotating wind turbines using a semi-autonomous UAV	76
Theoretical and experimental investigation on the influences of misalignment on the lubrication performances and lubrication regimes transition of water lubricated bearing	76
CNN and Convolutional Autoencoder (CAE) based real-time sensor fault detection, localization, and correction	76
Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution	75
Nonlinear vibration characteristics of fibre reinforced composite cylindrical shells in thermal environment	75
Vibration analysis of a dual-rotor-bearing-double casing system with pedestal looseness and multi-stage turbine blade-casing rub	74
Optimal design of tuned mass damper inerter with a Maxwell element for mitigating the vortex-induced vibration in bridges	74
Oversampling adversarial network for class-imbalanced fault diagnosis	74
Physics-Informed LSTM hyperparameters selection for gearbox fault detection	74
A review of recent studies on piezoelectric pumps and their applications	74
Bandgap properties in metamaterial sandwich plate with periodically embedded plate-type resonators	73
Online condition monitoring of floating wind turbines drivetrain by means of digital twin	73
An adaptive wavelet packet denoising algorithm for enhanced active acoustic damage detection from wind turbine blades	72
Fault diagnosis of rolling bearing based on empirical mode decomposition and improved manhattan distance in symmetrized dot pattern image	72
Fully interpretable neural network for locating resonance frequency bands for machine condition monitoring	72
Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults	71
An analysis of railway track behaviour based on distributed optical fibre acoustic sensing	71
A comprehensive review of acoustic based leak localization method in pressurized pipelines	71
A semi-supervised Support Vector Data Description-based fault detection method for rolling element bearings based on cyclic spectral analysis	71
Vibration-based anomaly detection using LSTM/SVM approaches	70
A comb-like beam based piezoelectric system for galloping energy harvesting	70
Analysis of different RNN autoencoder variants for time series classification and machine prognostics	69
Coupling dynamic behaviors of flexible stretching hub-beam system	69
Adaptive Kalman filters for nonlinear finite element model updating	69
Dynamic modelling of the defect extension and appearance in a cylindrical roller bearing	69
Foundations of population-based SHM, Part III: Heterogeneous populations – Mapping and transfer	69
A general methodology to establish the contact force model for complex contacting surfaces	68
Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process	68
Polytopic LPV approaches for intelligent automotive systems: State of the art and future challenges	68
Ball bearing skidding and over-skidding in large-scale angular contact ball bearings: Nonlinear dynamic model with thermal effects and experimental results	68
A smoothed iFEM approach for efficient shape-sensing applications: Numerical and experimental validation on composite structures	68
Model-based uneven loading condition monitoring of full ceramic ball bearings in starved lubrication	68
A comprehensive review on blade tip timing-based health monitoring: status and future	67
Adaptive maximum second-order cyclostationarity blind deconvolution and its application for locomotive bearing fault diagnosis	67
Deep discriminative transfer learning network for cross-machine fault diagnosis	67
An overview of acoustic emission inspection and monitoring technology in the key components of renewable energy systems	67
Neural adaptive control of single-rod electrohydraulic system with lumped uncertainty	67
Investigation of an ultra-low frequency piezoelectric energy harvester with high frequency up-conversion factor caused by internal resonance mechanism	66
Recursive variational mode extraction and its application in rolling bearing fault diagnosis	66
Characterizing nonlinear characteristics of asymmetric tristable energy harvesters	66
Long-term displacement measurement of full-scale bridges using camera ego-motion compensation	66
Experimental and numerical study of high-order complex curvature mode shape and mode coupling on a three-bladed wind turbine assembly	66
Dynamic modeling and stability analysis of a rotor-bearing system with bolted-disk joint	66
Multiscale symbolic fuzzy entropy: An entropy denoising method for weak feature extraction of rotating machinery	66
Bio-inspired toe-like structure for low-frequency vibration isolation	66
High-speed train wheel set bearing fault diagnosis and prognostics: A new prognostic model based on extendable useful life	65
Measurement of full-field displacement time history of a vibrating continuous edge from video	65
Milling chatter detection by multi-feature fusion and Adaboost-SVM	65
An investigation on the lubrication characteristics of floating ring bearing with consideration of multi-coupling factors	65
An active learning method combining deep neural network and weighted sampling for structural reliability analysis	65
Tool coating effects on cutting temperature during metal cutting processes: Comprehensive review and future research directions	64
Theoretical and experimental exploration into the fluid structure coupling dynamic behaviors towards water-lubricated bearing with axial asymmetric grooves	64
Optimal sensor placement methodology of hydraulic control system for fault diagnosis	64
Output feedback backstepping control of hydraulic actuators with valve dynamics compensation	64
Deep morphological convolutional network for feature learning of vibration signals and its applications to gearbox fault diagnosis	64
Foundations of population-based SHM, Part I: Homogeneous populations and forms	63
In-situ adjustable nonlinear passive stiffness using X-shaped mechanisms	63
Center-based Transfer Feature Learning With Classifier Adaptation for surface defect recognition	63
STFT spectrogram based hybrid evaluation method for rotating machine transient vibration analysis	62
The internet of things-based decision support system for information processing in intelligent manufacturing using data mining technology	62
Modeling and experimental investigation of a novel bistable two-degree-of-freedom electromagnetic energy harvester	62
Nonlinear tribo-dynamic model and experimental verification of a spur gear drive under loss-of-lubrication condition	61
Foundations of Population-based SHM, Part II: Heterogeneous populations – Graphs, networks, and communities	61
A novel integrated quasi-zero stiffness vibration isolator for coupled translational and rotational vibrations	60
Unknown fault feature extraction of rolling bearings under variable speed conditions based on statistical complexity measures	60
Electromechanical energy absorption, resonance frequency, and low-velocity impact analysis of the piezoelectric doubly curved system	60
Gaussian process models for mitigation of operational variability in the structural health monitoring of wind turbines	60
Nonlinear damping and mass effects of electromagnetic shunt damping for enhanced nonlinear vibration isolation	60
Pillared elastic metasurface with constructive interference for flexural wave manipulation	59

Gear pitting fault diagnosis with mixed operating conditions based on adaptive 1D separable convolution with residual connection	59
Validation of vibration-based structural health monitoring on retrofitted railway bridge KW51	59
Weighted domain adaptation networks for machinery fault diagnosis	59
Box-Cox sparse measures: A new family of sparse measures constructed from kurtosis and negative entropy	59
Online oil debris monitoring of rotating machinery: A detailed review of more than three decades	59
An improved partial similitude method for dynamic characteristic of rotor systems based on Levenberg–Marquardt method	59
Bi-stable buckled beam nonlinear energy sink applied to rotor system	58
Fault diagnosis of high-speed train suspension systems using multiscale permutation entropy and linear local tangent space alignment	58
Empirical Fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis	58
A novel load-dependent sensor placement method for model updating based on time-dependent reliability optimization considering multi-source uncertainties	58
Nonlinear energy sink with limited vibration amplitude	57
Parameter sharing adversarial domain adaptation networks for fault transfer diagnosis of planetary gearboxes	56
Real-time defect detection of high-speed train wheels by using Bayesian forecasting and dynamic model	56
Disturbance-observer-based nonlinear control for overhead cranes subject to uncertain disturbances	56
Creating acoustic topological insulators through topology optimization	56
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	55
A broadband piezo-electromagnetic hybrid energy harvester under combined vortex-induced and base excitations	55
Evaluation framework for smart disaster response systems in uncertainty environment	55
A dual quasi-zero-stiffness sliding-mode triboelectric nanogenerator for harvesting ultralow-low frequency vibration energy	55
Deep partial transfer learning network: A method to selectively transfer diagnostic knowledge across related machines	55
The applications of POD method in dual rotor-bearing systems with coupling misalignment	55
Sampling methods for solving Bayesian model updating problems: A tutorial	54
A chatter detection method in milling of thin-walled TC4 alloy workpiece based on auto-encoding and hybrid clustering	54
Adaptive periodic mode decomposition and its application in rolling bearing fault diagnosis	54
Bayesian linear regression for surface roughness prediction	54
A label description space embedded model for zero-shot intelligent diagnosis of mechanical compound faults	54
Deep learning for high-dimensional reliability analysis	54
Suppressing the backward motion of a stick–slip piezoelectric actuator by means of the sequential control method (SCM)	54
Fluid-induced vibration evolution mechanism of multiphase free sink vortex and the multi-source vibration sensing method	54
Mechanoelectrical flexible hub-beam model of ionic-type solvent-free nanofluids	54
A unified analysis framework of static and dynamic structural reliabilities based on direct probability integral method	53
Design and analysis of a broadband three-beam impact piezoelectric energy harvester for low-frequency rotational motion	53
Autocorrelated Envelopes for early fault detection of rolling bearings	53
MOVA/MOSS: Two integrated software solutions for comprehensive Structural Health Monitoring of structures	53
A theoretical dynamic model to study the vibration response characteristics of an axial piston pump	53
Normalized Conditional Variational Auto-Encoder with adaptive Focal loss for imbalanced fault diagnosis of Bearing-Rotor system	53
Deep learning for the identification of bruised apples by fusing 3D deep features for apple grading systems	52
A novel two-step strategy of non-probabilistic multi-objective optimization for load-dependent sensor placement with interval uncertainties	52
A multi-directional multi-stable device: Modeling, experiment verification and applications	52
Vehicle sideslip angle estimation by fusing inertial measurement unit and global navigation satellite system with heading alignment	52
Bridge modal identification using acceleration measurements within moving vehicles	52
Design and dynamic characterization of a large-scale eddy current damper with enhanced performance for vibration control	52
A novel correntropy-based band selection method for the fault diagnosis of bearings under fault-irrelevant impulsive and cyclostationary interferences	52
Value of information from vibration-based structural health monitoring extracted via Bayesian model updating	52
Electroelastic high-order computational continuum strategy for critical voltage and frequency of piezoelectric NEMS via modified multi-physical couple stress theory	52
Elastic-electro-mechanical modeling and analysis of piezoelectric metamaterial plate with a self-powered synchronized charge extraction circuit for vibration energy harvesting	52
Assessment of various seismic fragility analysis approaches for structures excited by non-stationary stochastic ground motions	52
Investigation of the orbit-spinning behaviors of the outer ring in a full ceramic ball bearing-steel pedestal system in wide temperature ranges	52
An artificial neural network methodology for damage detection: Demonstration on an operating wind turbine blade	52
Machine learning based prediction of piezoelectric energy harvesting from wake galloping	51
Support tensor machine with dynamic penalty factors and its application to the fault diagnosis of rotating machinery with unbalanced data	51
Weak fault feature extraction of rolling bearings based on improved ensemble noise-reconstructed EMD and adaptive threshold denoising	51
Classification and unified phenomenological modeling of complex uniaxial rate-independent hysteretic responses	51
A novel percussion-based method for multi-bolt looseness detection using one-dimensional memory augmented convolutional long short-term memory networks	51
A stick-slip piezoelectric actuator with measurable contact force	51
An adaptive hierarchical decomposition-based method for multi-step cutterhead torque forecast of shield machine	51
AK-DS: An adaptive Kriging-based directional sampling method for reliability analysis	51
Data-driven simultaneous identification of the 6DOF dynamic model and wave load for a ship in waves	50
Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump	50
Estimation on IMU yaw misalignment by fusing information of automotive onboard sensors	50
Automated fatigue damage detection and classification technique for composite structures using Lamb waves and deep autoencoder	50
Effects of three types of bearing misalignments on dynamic characteristics of planetary gear set-rotor system	50
Research and applications of active bearings: A state-of-the-art review	50
Path-following control of Mecanum-wheels omnidirectional mobile robots using nonsingular terminal sliding mode	50
Dynamically synergistic regulation mechanism for rotation energy harvesting	50
A novel approach for predicting tool remaining useful life using limited data	49
Intelligent bearing fault diagnosis method combining mixed input and hybrid CNN-MLP model	49
Bearing diagnostics under strong electromagnetic interference based on Integrated Spectral Coherence	49
Data-driven thermally-induced error compensation method of high-speed and precision five-axis machine tools	49
Condition monitoring and intelligent diagnosis of rolling element bearings under constant/variable load and speed conditions	49
Instance-based ensemble deep transfer learning network: A new intelligent degradation recognition method and its application on ball screw	49
Vibration characteristics and condition monitoring of internal radial clearance within a ball bearing in a gear-shaft-bearing system	49
Two-stage physics-based Wiener process models for online RUL prediction in field vibration data	49
A review of online condition monitoring and maintenance strategy for cylinder liner-piston rings of diesel engines	48
A new method for the estimation of bearing health state and remaining useful life based on the moving average cross-correlation of power spectral density	48
Real-time assessment of asphalt pavement moduli and traffic loads using monitoring data from Built-in Sensors: Optimal sensor placement and identification algorithm	48
Vehicle sideslip angle estimation using deep ensemble-based adaptive Kalman filter	48
Multimodal optical excitation pulsed thermography: Enhanced recognize debonding defects of the solid propellant rocket motor cladding layer	48
Experimental and theoretical approaches for determining cage motion dynamic characteristics of angular contact ball bearings considering whirling and overall skidding behaviors	48
Automatic detection of feather defects using Lie group and fuzzy Fisher criterion for shuttlecock production	48
A noise reduction method based on adaptive weighted symplectic geometry decomposition and its application in early gear fault diagnosis	48
An adaptive sensor placement algorithm for structural health monitoring based on multi-objective iterative optimization using weight factor updating	48
Moment matching-based intraclass multisource domain adaptation network for bearing fault diagnosis	48
Disturbance rejection based on iterative learning control with extended state observer for a four-degree-of-freedom hybrid magnetic bearing system	47
A state-of-the-art review on uncertainty analysis of rotor systems	47
Enhancing vortex-induced vibrations of a cylinder with rod attachments for hydrokinetic power generation	47
Development of a piezoelectrically actuated dual-stage fast tool servo	47
On the detailed design of a quasi-zero stiffness device to assist in the realisation of a translational Lanchester damper	47
On reliability analysis method through rotational sparse grid nodes	47
Fundamental mode shape estimation and element stiffness evaluation of girder bridges by using passing tractor-trailers	47
A generalized cauchy method for remaining useful life prediction of wind turbine gearboxes	47
A compact X-shaped mechanism based 3-DOF anti-vibration unit with enhanced tunable QZS property	47
Cyclostationary-based Multiband Envelope Spectra Extraction for bearing diagnostics: The Combined Improved Envelope Spectrum	47
Estimation of tire-road peak adhesion coefficient for intelligent electric vehicles based on camera and tire dynamics information fusion	47
Automation of low-speed bearing fault diagnosis based on autocorrelation of time domain features	46