OOIR: Observatory of International Research

Papers

(The H4-Index of Mechanical Systems and Signal Processing is 82. 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.)

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	726
A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges	414
The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study	209
Digital twin-driven intelligent assessment of gear surface degradation	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
Metamaterial beam with graded local resonators for broadband vibration suppression	154
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
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
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
A hybrid piezo-dielectric wind energy harvester for high-performance vortex-induced vibration energy harvesting	132
Data synthesis using deep feature enhanced generative adversarial networks for rolling bearing imbalanced fault diagnosis	131

Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks	131
A review on the application of blind deconvolution in machinery fault diagnosis	127
Recursive sliding mode control with adaptive disturbance observer for a linear motor positioner	126
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
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
Deep discriminative transfer learning network for cross-machine fault diagnosis	116
Rolling element bearing diagnosis based on singular value decomposition and composite squared envelope spectrum	115
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
Precise cutterhead torque prediction for shield tunneling machines using a novel hybrid deep neural network	107
Imbalanced fault diagnosis of rolling bearing using improved MsR-GAN and feature enhancement-driven CapsNet	106
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
Response time of magnetorheological dampers to current inputs in a semi-active suspension system: Modeling, control and sensitivity analysis	103
A novel nonlinear mechanical oscillator and its application in vibration isolation and energy harvesting	103
A novel Fast Entrogram and its applications in rolling bearing fault diagnosis	101
A novel load-dependent sensor placement method for model updating based on time-dependent reliability optimization considering multi-source uncertainties	101
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
CNN and Convolutional Autoencoder (CAE) based real-time sensor fault detection, localization, and correction	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	95
A fault diagnosis method for wind turbines gearbox based on adaptive loss weighted meta-ResNet under noisy labels	93
Asynchronous fault detection filtering for piecewise homogenous Markov jump linear systems via a dual hidden Markov model	92
Transient wave-based methods for anomaly detection in fluid pipes: A review	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
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
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
Online condition monitoring of floating wind turbines drivetrain by means of digital twin	87
A review of recent studies on piezoelectric pumps and their applications	87
Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution	87
Foundations of population-based SHM, Part III: Heterogeneous populations – Mapping and transfer	87
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
Oversampling adversarial network for class-imbalanced fault diagnosis	85
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

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
Fault diagnosis of rolling bearing based on empirical mode decomposition and improved manhattan distance in symmetrized dot pattern image	83
In-situ adjustable nonlinear passive stiffness using X-shaped mechanisms	83
Deep convolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gear fault diagnosis under data limitations	83
A smoothed iFEM approach for efficient shape-sensing applications: Numerical and experimental validation on composite structures	82
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