Citation Impact
Citing Papers
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
Data-driven digital twin technology for optimized control in process systems
2019
Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application
2019 Standout
An innovative information fusion method with adaptive Kalman filter for integrated INS/GPS navigation of autonomous vehicles
2017 Standout
A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives
2021 Standout
Sliding Window-Based Fault Detection From High-Dimensional Data Streams
2016
LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification
2017
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion
2017
A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem
2016
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
Cross-Domain Fault Diagnosis Using Knowledge Transfer Strategy: A Review
2019
A fault diagnosis approach for diesel engines based on self-adaptive WVD, improved FCBF and PECOC-RVM
2015
A survey on FinTech
2017 Standout
Semi-Supervised Broad Learning System Based on Manifold Regularization and Broad Network
2020 Standout
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Machine Learning and Digital Twin Driven Diagnostics and Prognostics of Light‐Emitting Diodes
2020
A sound based method for fault detection with statistical feature extraction in UAV motors
2021 Standout
Digital twin modeling
2022 Standout
Fault Isolation Based On k-Nearest Neighbor Rule For Industrial Processes
2016
A recurrent neural network based health indicator for remaining useful life prediction of bearings
2017 Standout
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
2018 Standout
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification
2016 Standout
GMM and optimal principal components-based Bayesian method for multimode fault diagnosis
2015
Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems
2015
Barrier Lyapunov Functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints
2015 Standout
A robust filtering algorithm for integrated navigation system of aerospace vehicle in launch inertial coordinate
2016
Deep Model Based Domain Adaptation for Fault Diagnosis
2016
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
2019 Standout
Data-Driven Design and Optimization of Feedback Control Systems for Industrial Applications
2014
A Product Quality Monitor Model With the Digital Twin Model and the Stacked Auto Encoder
2020
An Adaptive NN-Based Approach for Fault-Tolerant Control of Nonlinear Time-Varying Delay Systems With Unmodeled Dynamics
2016
Fault-tolerant control of Markovian jump stochastic systems via the augmented sliding mode observer approach
2014
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
Autonomous concrete crack detection using deep fully convolutional neural network
2018 Standout
Incipient fault detection and diagnosis based on Kullback–Leibler divergence using principal component analysis: Part II
2014
Performance Monitoring for Vehicle Suspension System via Fuzzy Positivistic C-Means Clustering Based on Accelerometer Measurements
2015
An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data
2016
A survey on security control and attack detection for industrial cyber-physical systems
2017 Standout
Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System
2019 Standout
Big Data for Modern Industry: Challenges and Trends [Point of View]
2015
Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis
2017
Recursive Total Principle Component Regression Based Fault Detection and Its Application to Vehicular Cyber-Physical Systems
2017
Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis
2014
Digital Twin: Enabling Technologies, Challenges and Open Research
2020 Standout
Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances
2020 Standout
Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes
2015
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling
2015
A Novel Prognostic Approach for RUL Estimation With Evolving Joint Prediction of Continuous and Discrete States
2019
Early Fault Detection Approach With Deep Architectures
2018
A New Adaptive Sliding-Mode Control Scheme for Application to Robot Manipulators
2016 Standout
Battery Lifetime Prognostics
2020 Standout
Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects
2016
A Survey on Distributed Filtering and Fault Detection for Sensor Networks
2014
Continuous Nonsingular Terminal Sliding-Mode Control of Shape Memory Alloy Actuators Using Time Delay Estimation
2014
Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals
2017 Standout
A survey of deep neural network architectures and their applications
2016 Standout
Weak fault diagnosis of rotating machinery based on feature reduction with Supervised Orthogonal Local Fisher Discriminant Analysis
2015
Industrial Internet of Things: Challenges, Opportunities, and Directions
2018 Standout
A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
2017 Standout
Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis
2014
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions
2020 Standout
Data-Driven Neuro-Optimal Temperature Control of Water–Gas Shift Reaction Using Stable Iterative Adaptive Dynamic Programming
2014
Deep learning and its applications to machine health monitoring
2018 Standout
A survey on quadrotors: Configurations, modeling and identification, control, collision avoidance, fault diagnosis and tolerant control
2018
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics
2014
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis
2015
A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains
2019 Standout
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
2022 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Data-driven prediction of battery cycle life before capacity degradation
2019 Standout
Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks
2017 Standout
A Comprehensive Survey of Prognostics and Health Management Based on Deep Learning for Autonomous Ships
2019
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
2018 Standout
Intelligent fault diagnosis approach with unsupervised feature learning by stacked denoising autoencoder
2017
A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
2015 Standout
Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery
2017
Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP
2015 Standout
Real-Time Remaining Useful Life Prediction for a Nonlinear Degrading System in Service: Application to Bearing Data
2017
WPD-PCA-Based Laser Welding Process Monitoring and Defects Diagnosis by Using FNN and SVM
2014
Representational Learning for Fault Diagnosis of Wind Turbine Equipment: A Multi-Layered Extreme Learning Machines Approach
2016
Data-driven smart manufacturing
2018 Standout
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
Stochastic degradation process modeling and remaining useful life estimation with flexible random-effects
2016
The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities
2021 Standout
A Novel Approach for Speed and Failure Detection in Brushless DC Motors Based on Chaos
2018
Adaptive Fuzzy Control of Strict-Feedback Nonlinear Time-Delay Systems With Unmodeled Dynamics
2015
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Works of Hao Luo being referenced
Real-Time Implementation of Fault-Tolerant Control Systems With Performance Optimization
2013
Real-Time Optimization of Automatic Control Systems With Application to BLDC Motor Test Rig
2016
Plug-and-Play Monitoring and Performance Optimization for Industrial Automation Processes
2016
Quality-related fault detection using linear and nonlinear principal component regression
2016
A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
2014 Standout
A Semi-Quantitative Information Based Fault Diagnosis Method for the Running Gears System of High-Speed Trains
2019
Time-Domain Frequency Estimation With Application to Fault Diagnosis of the Unmanned Aerial Vehicles’ Blade Damage
2021