Citation Impact
Citing Papers
Origin of Antibiotics and Antibiotic Resistance, and Their Impacts on Drug Development: A Narrative Review
2023 Standout
A new mobile application of agricultural pests recognition using deep learning in cloud computing system
2021 Standout
Deep residual learning-based fault diagnosis method for rotating machinery
2018
Fault Diagnosis for Rotating Machinery: A Method based on Image Processing
2016
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
2021 Standout
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
Rolling bearing fault diagnosis using adaptive deep belief network with dual-tree complex wavelet packet
2017
An optimal deep sparse autoencoder with gated recurrent unit for rolling bearing fault diagnosis
2019
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives
2021 Standout
Domain Knowledge-Based Deep-Broad Learning Framework for Fault Diagnosis
2020
SVM-DS fusion based soft fault detection and diagnosis in solar water heaters
2018 Standout
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
2018 Standout
A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis
2017
A novel hybrid compound fault pattern identification method for gearbox based on NIC, MFDFA and WOASVM
2019
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes
2018
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
2017 Standout
A Hybrid Generalization Network for Intelligent Fault Diagnosis of Rotating Machinery Under Unseen Working Conditions
2021
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
2017 Standout
Sound-aided vibration weak signal enhancement for bearing fault detection by using adaptive stochastic resonance
2019
Ensemble deep learning-based fault diagnosis of rotor bearing systems
2018
Rolling Bearing Fault Diagnosis Using Modified LFDA and EMD With Sensitive Feature Selection
2017
A review of stochastic resonance in rotating machine fault detection
2018
Semi-Supervised Broad Learning System Based on Manifold Regularization and Broad Network
2020 Standout
Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism
2019
A feature fusion deep belief network method for intelligent fault diagnosis of rotating machinery
2018
GTxChain: A Secure IoT Smart Blockchain Architecture Based on Graph Neural Network
2023 Standout
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Rolling element bearing fault detection using PPCA and spectral kurtosis
2015
Fault diagnosis based on dependent feature vector and probability neural network for rolling element bearings
2014
A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
2019
A sound based method for fault detection with statistical feature extraction in UAV motors
2021 Standout
Fault Diagnosis of Hydraulic Seal Wear and Internal Leakage Using Wavelets and Wavelet Neural Network
2018
Deep Residual Shrinkage Networks for Fault Diagnosis
2019 Standout
Diagnosis of the three-phase induction motor using thermal imaging
2016 Standout
An intelligent fault diagnosis method of rotating machinery based on deep neural networks and time-frequency analysis
2018
Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network
2017
Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review
2020
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification
2016 Standout
Adaptive parameterless empirical wavelet transform based time-frequency analysis method and its application to rotor rubbing fault diagnosis
2016
Fault diagnosis method of rotating machinery based on stacked denoising autoencoder
2018
A dependence-based feature vector and its application on planetary gearbox fault classification
2018
Artificial Intelligence and Antibiotic Discovery
2021
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Multi-dimensional variational mode decomposition for bearing-crack detection in wind turbines with large driving-speed variations
2016
Maintenance Models Applied to Wind Turbines. A Comprehensive Overview
2019
A novel deep autoencoder feature learning method for rotating machinery fault diagnosis
2017
Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions
2019
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
Wheel-bearing fault diagnosis of trains using empirical wavelet transform
2016
Weak Degradation Characteristics Analysis of UAV Motors Based on Laplacian Eigenmaps and Variational Mode Decomposition
2019
1D convolutional neural networks and applications: A survey
2022 Standout
Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System
2019 Standout
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications
2015
Stochastic resonance with Woods–Saxon potential for rolling element bearing fault diagnosis
2014
A novel bearing fault diagnosis method based on 2D image representation and transfer learning-convolutional neural network
2019
Intelligent fault diagnosis method of planetary gearboxes based on convolution neural network and discrete wavelet transform
2019
Fault diagnosis of single-phase induction motor based on acoustic signals
2018 Standout
Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis
2019
Short-term wind speed prediction model based on GA-ANN improved by VMD
2019 Standout
Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications
2021 Standout
Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing
2017
Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings
2017
Condition Monitoring Parameters for Fault Diagnosis of Fixed Axis Gearbox: A Review
2016
An Intelligent Gear Fault Diagnosis Methodology Using a Complex Wavelet Enhanced Convolutional Neural Network
2017
Early Fault Diagnosis of Rotating Machinery by Combining Differential Rational Spline-Based LMD and K–L Divergence
2017
Distribution Bias Aware Collaborative Generative Adversarial Network for Imbalanced Deep Learning in Industrial IoT
2022
Nonlinear machine fault detection by semi-supervised Laplacian Eigenmaps
2017
Knowledge Transfer for Rotary Machine Fault Diagnosis
2019
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
2017 Standout
Recent progress on decoupling diagnosis of hybrid failures in gear transmission systems using vibration sensor signal: A review
2016
Intelligent Fault Diagnosis Method Based on Full 1-D Convolutional Generative Adversarial Network
2019
Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems
2018
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
2017 Standout
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
2020 Standout
An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis
2017
Differential evolution optimization for resilient stacked sparse autoencoder and its applications on bearing fault diagnosis
2018
Deep learning and its applications to machine health monitoring
2018 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains
2019 Standout
A general multi-objective optimized wavelet filter and its applications in fault diagnosis of wheelset bearings
2020
Compound fault diagnosis of rotating machinery based on OVMD and a 1.5-dimension envelope spectrum
2016
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review
2018
An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem
2019 Standout
Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks
2017 Standout
An Effective Federated Learning Verification Strategy and Its Applications for Fault Diagnosis in Industrial IoT Systems
2022 Standout
A novel gearbox fault feature extraction and classification using Hilbert empirical wavelet transform, singular value decomposition, and SOM neural network
2017
Semi-supervised gear fault diagnosis using raw vibration signal based on deep learning
2019
The infogram: Entropic evidence of the signature of repetitive transients
2015
Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery
2017
A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings
2016 Standout
Dempster-Shafer evidence theory for multi-bearing faults diagnosis
2016
Wavelets for fault diagnosis of rotary machines: A review with applications
2013 Standout
A novel tracking deep wavelet auto-encoder method for intelligent fault diagnosis of electric locomotive bearings
2018
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification
2017
Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder‐Based Deep Neural Network
2018
A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM
2015
Step-by-Step Fuzzy Diagnosis Method for Equipment Based on Symptom Extraction and Trivalent Logic Fuzzy Diagnosis Theory
2018
Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD
2017
An improved EEMD with multiwavelet packet for rotating machinery multi-fault diagnosis
2013
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning
2018
Research on Degradation State Recognition of Planetary Gear Based on Multiscale Information Dimension of SSD and CNN
2019
A Novel Fault Diagnosis Method Based on Integrating Empirical Wavelet Transform and Fuzzy Entropy for Motor Bearing
2018
Works of Jinglong Chen being referenced
Construction of customized redundant multiwavelet via increasing multiplicity for fault detection of rotating machinery
2013
Intelligent fault identification for industrial automation system via multi-scale convolutional generative adversarial network with partially labeled samples
2020
Multiwavelet transform and its applications in mechanical fault diagnosis – A review
2013
LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification
2017
A Novel Multitask Adversarial Network via Redundant Lifting for Multicomponent Intelligent Fault Detection Under Sharp Speed Variation
2021
Compound faults detection of rotating machinery using improved adaptive redundant lifting multiwavelet
2012
Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals
2015
A modified tacho-less order tracking method for the surveillance and diagnosis of machine under sharp speed variation
2018
Construction of adaptive redundant multiwavelet packet and its application to compound faults detection of rotating machinery
2012
Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review
2015
Data-driven mono-component feature identification via modified nonlocal means and MEWT for mechanical drivetrain fault diagnosis
2016
Adaptive redundant multiwavelet denoising with improved neighboring coefficients for gearbox fault detection
2013
Multifractal entropy based adaptive multiwavelet construction and its application for mechanical compound-fault diagnosis
2016
Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive
2016
Improved spectral kurtosis with adaptive redundant multiwavelet packet and its applications for rotating machinery fault detection
2012
Fault Diagnosis of Demountable Disk-Drum Aero-Engine Rotor Using Customized Multiwavelet Method
2015
Deep Feature Generating Network: A New Method for Intelligent Fault Detection of Mechanical Systems Under Class Imbalance
2020
A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis
2020