Citation Impact
Citing Papers
Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis
2017
Machinery fault diagnosis with imbalanced data using deep generative adversarial networks
2019
A new mobile application of agricultural pests recognition using deep learning in cloud computing system
2021 Standout
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision
2020
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests
2017
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning
2019
Edge Computing: A Promising Framework for Real-Time Fault Diagnosis and Dynamic Control of Rotating Machines Using Multi-Sensor Data
2019
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
2018 Standout
Fault Diagnosis of Rotating Machinery Based on Deep Reinforcement Learning and Reciprocal of Smoothness Index
2020
Enabling technologies and tools for digital twin
2019 Standout
Replacement Condition Detection of Railway Point Machines Using an Electric Current Sensor
2017
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Intelligent Bearing Fault Diagnosis Method Combining Compressed Data Acquisition and Deep Learning
2017
A new-structure grey Verhulst model: Development and performance comparison
2020 Standout
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
2018
GAN-based anomaly detection: A review
2022
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators
2017 Standout
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
Diagnosis of Interturn Short-Circuit Faults in Permanent Magnet Synchronous Motors Based on Few-Shot Learning Under a Federated Learning Framework
2021
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Robotic excavator trajectory control using an improved GA based PID controller
2017
Fog computing and convolutional neural network enabled prognosis for machining process optimization
2019
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
Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks
2019
Forecasting the Energy Consumption of China’s Manufacturing Using a Homologous Grey Prediction Model
2017
Deep Laplacian Auto-encoder and its application into imbalanced fault diagnosis of rotating machinery
2019
Deep learning for smart manufacturing: Methods and applications
2018 Standout
State Space Formulation of Nonlinear Vibration Responses Collected from a Dynamic Rotor-Bearing System: An Extension of Bearing Diagnostics to Bearing Prognostics
2017
An intelligent fault diagnosis approach for planetary gearboxes based on deep belief networks and uniformed features
2018
A convolutional neural network based on a capsule network with strong generalization for bearing fault diagnosis
2018
A survey on Deep Learning based bearing fault diagnosis
2018
Review of digital twin about concepts, technologies, and industrial applications
2020 Standout
Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples
2019
A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
2019
A self‐adaptive intelligence gray prediction model with the optimal fractional order accumulating operator and its application
2017
A sound based method for fault detection with statistical feature extraction in UAV motors
2021 Standout
Deep Residual Shrinkage Networks for Fault Diagnosis
2019 Standout
The monarch butterfly optimization algorithm for solving feature selection problems
2020
Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks
2017
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
2018 Standout
Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review
2020
Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing
2019
Fault diagnosis method of rotating machinery based on stacked denoising autoencoder
2018
Development of an optimization method for the GM(1,N) model
2016
Fault Diagnosis for UAV Blades Using Artificial Neural Network
2019
Deep Model Based Domain Adaptation for Fault Diagnosis
2016
A Review of Artificial Intelligence Algorithms Used for Smart Machine Tools
2018
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing
2018
An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems
2018
Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis
2018
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Predictive maintenance in the Industry 4.0: A systematic literature review
2020 Standout
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data
2018
A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines
2017
A novel fusion diagnosis method for rotor system fault based on deep learning and multi-sourced heterogeneous monitoring data
2018
Adaptive Channel Weighted CNN With Multisensor Fusion for Condition Monitoring of Helicopter Transmission System
2020
Deep learning enabled intelligent fault diagnosis: Overview and applications
2018
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
Fault severity identification of roller bearings using flow graph and non-naive Bayesian inference
2019
Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances
2020 Standout
Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey
2019
Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study
2019
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
2018 Standout
ReLTanh: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis
2019
A review on the application of deep learning in system health management
2018
A novel bearing fault diagnosis method based on 2D image representation and transfer learning-convolutional neural network
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
Regrouping particle swarm optimization based variable neural network for gearbox fault diagnosis
2018
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
2019 Standout
Dynamic deep learning algorithm based on incremental compensation for fault diagnosis model
2018
An Improved Harris Hawks Optimization Algorithm With Simulated Annealing for Feature Selection in the Medical Field
2020 Standout
Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing
2017
Predicting residential energy consumption using CNN-LSTM neural networks
2019 Standout
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
An enhanced convolutional neural network for bearing fault diagnosis based on time–frequency image
2020
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
Deep learning and its applications to machine health monitoring
2018 Standout
Fault Severity Monitoring of Rolling Bearings Based on Texture Feature Extraction of Sparse Time–Frequency Images
2018
Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways
2017 Standout
Fault detection of broken rotor bar in LS-PMSM using random forests
2017
A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox
2017
Bearing fault diagnosis of a permanent magnet synchronous motor via a fast and online order analysis method in an embedded system
2017
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
2022 Standout
Activation functions in deep learning: A comprehensive survey and benchmark
2022 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
A new multivariable grey prediction model with structure compatibility
2019 Standout
A Comprehensive Survey of Prognostics and Health Management Based on Deep Learning for Autonomous Ships
2019
An Effective Federated Learning Verification Strategy and Its Applications for Fault Diagnosis in Industrial IoT Systems
2022 Standout
Semi-supervised gear fault diagnosis using raw vibration signal based on deep learning
2019
A new dynamic predictive maintenance framework using deep learning for failure prognostics
2019
Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery
2017
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
2018 Standout
Recognition of rotor damages in a DC motor using acoustic signals
2017
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
The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities
2021 Standout
A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics
2020 Standout
Deep learning fault diagnosis method based on global optimization GAN for unbalanced data
2019
Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network
2017
A novel multi-variable grey forecasting model and its application in forecasting the amount of motor vehicles in Beijing
2016
Economic indicators and bioenergy supply in developed economies: QROF-DEMATEL and random forest models
2021 Standout
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Deep Feature Learning Architectures for Daily Reservoir Inflow Forecasting
2016
A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis
2020
Works of Diego Cabrera being referenced
Rolling element bearing defect detection using the generalized synchrosqueezing transform guided by time–frequency ridge enhancement
2015
Fuzzy determination of informative frequency band for bearing fault detection
2016
A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis
2018
A statistical comparison of neuroclassifiers and feature selection methods for gearbox fault diagnosis under realistic conditions
2016
A review on data-driven fault severity assessment in rolling bearings
2017
Extracting repetitive transients for rotating machinery diagnosis using multiscale clustered grey infogram
2016
Hierarchical feature selection based on relative dependency for gear fault diagnosis
2015
Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation
2017
Fusing convolutional generative adversarial encoders for 3D printer fault detection with only normal condition signals
2020
Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals
2016
Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery
2019
A fuzzy transition based approach for fault severity prediction in helical gearboxes
2016
Fault diagnosis in spur gears based on genetic algorithm and random forest
2015
Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal
2015
A comparative feature analysis for gear pitting level classification by using acoustic emission, vibration and current signals
2018
Observer-biased bearing condition monitoring: From fault detection to multi-fault classification
2016
Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis
2015
Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition
2015
A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification
2017
Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning
2016
A comparison of fuzzy clustering algorithms for bearing fault diagnosis
2018