HC
Publications
- Data-Driven Detection of Hot Spots in Photovoltaic Energy Systems
- A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains
- Probability-Relevant Incipient Fault Detection and Diagnosis Methodology With Applications to Electric Drive Systems
- Edge Computing-Aided Framework of Fault Detection for Traction Control Systems in High-Speed Trains
- Deep PCA Based Real-Time Incipient Fault Detection and Diagnosis Methodology for Electrical Drive in High-Speed Trains
- Data-driven Detection and Diagnosis of Incipient Faults in Electrical Drives of High-Speed Trains
- A Newly Robust Fault Detection and Diagnosis Method for High-Speed Trains
- Real-time incipient fault detection for electrical traction systems of CRH2
- A Multi-mode Incipient Sensor Fault Detection and Diagnosis Method for Electrical Traction Systems
- Multi-mode kernel principal component analysis–based incipient fault detection for pulse width modulated inverter of China Railway High-speed 5
- A modified neighborhood preserving embedding-based incipient fault detection with applications to small-scale cyber–physical systems
- An improved incipient fault detection method based on Kullback-Leibler divergence
- Sensors Information Fusion System with Fault Detection Based on Multi-Manifold Regularization Neighborhood Preserving Embedding
- Data-Driven Incipient Sensor Fault Estimation with Application in Inverter of High-Speed Railway
- Data-driven and deep learning-based detection and diagnosis of incipient faults with application to electrical traction systems
- Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
- Data-driven fault diagnosis for dynamic traction systems in high-speed trains
- A Review of Intelligent Fault Diagnosis for High-Speed Trains: Qualitative Approaches
- Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives
- Data-Driven Fault Detection for Dynamic Systems With Performance Degradation: A Unified Transfer Learning Framework
- Enhanced Fault Diagnosis Using Broad Learning for Traction Systems in High-Speed Trains
- A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data
- Slow feature analysis-aided detection and diagnosis of incipient faults for running gear systems of high-speed trains
- A Single-Side Neural Network-Aided Canonical Correlation Analysis With Applications to Fault Diagnosis
- Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning
- Health Status Assessment for LCESs Based on Multidiscounted Belief Rule Base
- A Tutorial on Hardware-Implemented Fault Injection and Online Fault Diagnosis for High-Speed Trains
- Multiblock Dynamic Slow Feature Analysis-Based System Monitoring for Electrical Drives of High-Speed Trains
- A Broad Learning Aided Data-Driven Framework of Fast Fault Diagnosis for High-Speed Trains
- A Segmental Autoencoder-based Fault Detection for Nonlinear Dynamic Systems: An Interpretable Learning Framework
- Fault-tolerant Soft Sensors for Dynamic Systems
- Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning
- Fault Detection for Nonlinear Dynamic Systems With Consideration of Modeling Errors: A Data-Driven Approach
- Online Monitoring for Non-Stationary Operation via a Collaborative Neural Network
- Data-Driven Designs of Fault Identification via Collaborative Deep Learning for Traction Systems in High-Speed Trains
- A New Perspective on AE- and VAE-based Process Monitoring
- A New Perspective on AE- and VAE-based Process Monitoring
- Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder
- Data-Driven Optimal Test Selection Design for Fault Detection and Isolation Based on CCVKL Method and PSO
- A Hybrid Design of Fault Detection for Nonlinear Systems Based on Dynamic Optimization
- Performance Evaluation of Few-shot Learning-based System Identification
- Fuzzy-Model-Based Asynchronous Fault Detection for Markov Jump Systems with Partially Unknown Transition Probabilities: An Adaptive Event-Triggered Approach
- Joint corrective optimization based on VSC-HVDC and distributed energy storage for power system security enhancement
- Reliable H∞ filtering for the SP resonant ICPT system with stochastic multiple sensor faults
- Finite-time filtering for fuzzy nonlinear semi-Markov jump systems with deception attacks and aperiodical transmission
- Data-driven fault diagnosis for dynamic traction systems in high-speed trains,数据驱动高速列车动态牵引系统的故障诊断
- Sliding mode control of linear multiple-input multiple-output systems with mismatched uncertainties
- Skew t Distribution-Based Nonlinear Filter with Asymmetric Measurement Noise Using Variational Bayesian Inference
- A strategy for access points selection and capacity configuration for the VSC-HVDC system considering overload scenarios alleviation
- Data-based incipient actuator fault detection and diagnosis for three-phase PWM voltage source inverter
- Reliable H∞ filtering for the SP resonant ICPT system with stochastic multiple sensor faults
- Slow Manifold Analysis-Based Detection of Hot Spots in Photovoltaic Systems
- Reliable H∞ filtering for the SP resonant ICPT system with stochastic multiple sensor faults
- A Unified BRB-based Framework for Real-Time Health Status Prediction in High-Speed Trains
- An Improved Fault Diagnosis Approach Using LSSVM for Complex Industrial Systems
- Research on Interferencesof VFTO to Irregular Distributionsof Secondary Side Cables
- Layer‐wise contribution‐filtered propagation for deep learning‐based fault isolation
- Deep Learning-Based Machinery Fault Diagnostics
- Covert Attack Detection for LFC Systems of Electric Vehicles: A Dual Time-Varying Coding Method
- Tendency-Aided Data-Driven Method for Hot Spot Detection in Photovoltaic Systems
- Data-driven Monitoring for Distributed Sensor Networks: An End-to-end Strategy based on Collaborative Learning
- Distributed Process Monitoring for Multi-Agent Systems Through Cognitive Learning
- Transfer Learning-motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives
- Data-Driven Monitoring for Distributed Sensor Networks: An End-to-End Strategy Based on Collaborative Learning
- A data‐driven distributed fault detection scheme based on subspace identification technique for dynamic systems
- Pig Face Recognition Based on Trapezoid Normalized Pixel Difference Feature and Trimmed Mean Attention Mechanism
- Fault Estimation for Switched Interconnected Nonlinear Systems with External Disturbances via Variable Weighted Iterative Learning
- Trajectory tracking control based on prescribed performance and fractional-order state observer for unmanned helicopters with unmeasurable states
- ConvLSTM and Self-Attention aided Canonical Correlation Analysis for Multi-output Soft Sensor Modeling
- A Unified Framework for Multi-Agent Formation with a Non-repetitive Leader Trajectory: Adaptive Control and Iterative Learning Control
- A Unified Framework for Multi-Agent Formation with a Non-repetitive Leader Trajectory: Adaptive Control and Iterative Learning Control
- Research on Interferences of VFTO to Irregular Distributions of Secondary Side Cables
- An Active Contour Model Based on Local Pre-piecewise Fitting Bias Corrections for Fast and Accurate Segmentation
- ConvLSTM and Self-Attention Aided Canonical Correlation Analysis for Multioutput Soft Sensor Modeling
- An Active Contour Model Based on Local Pre-Piecewise Fitting Bias Corrections for Fast and Accurate Segmentation
- Hierarchical Graph Convolutional Networks With Latent Structure Learning for Mechanical Fault Diagnosis
- Online Fault Diagnosis and Tolerance Based on Multi-Expert Joint Belief Rule Base for Sensor Failures of Vehicles
- Online Fault Diagnosis and Tolerance Based on Multiexpert Joint Belief Rule Base for Sensor Failures of Vehicles
- A Reduced-Order Observer-Based Method for Simultaneous Diagnosis of Open-Switch and Current Sensor Faults of a Grid-Tied NPC Inverter
- A Hierarchical Soft-sensor Using Spatiotemporal Information Transformation and ARMA with Application in Wastewater Treatment
- A Hierarchical Soft-Sensor Using Spatiotemporal Information Transformation and ARMA With Application in Wastewater Treatment
- A General Degradation Process of Useful Life Analysis Under Unreliable Signals for Accelerated Degradation Testing
- Fault Estimation for Switched Interconnected Nonlinear Systems With External Disturbances via Variable Weighted Iterative Learning
- Large-Scale Data-Driven Optimization in Deep Modeling With an Intelligent Decision-Making Mechanism
- Digital twins-based process monitoring for wastewater treatment processes
- Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains
- Fault-Tolerant Soft Sensors for Dynamic Systems
- Asynchronous Deconvolution Filtering for 2-D Markov Jump Systems With Packet Loss Compensation
- Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives
- Guest Editorial: Special Issue on Artificial Intelligence Methods for Maintenance and Safety of Automation Systems
- A Latent Representation Generalizing Network for Domain Generalization in Cross-Scenario Monitoring
- A Novel Adaptive SMO-based Simultaneous Diagnosis Method for IGBT Open-Circuit Faults and Current Sensor Incipient Faults of Inverters in PMSM Drives for Electric Vehicles
- Dynamic multi-objective optimization and multi-units linear active disturbance rejection control for wastewater treatment processes
- A Novel Adaptive SMO-Based Simultaneous Diagnosis Method for IGBT Open-Circuit Faults and Current Sensor Incipient Faults of Inverters in PMSM Drives for Electric Vehicles
- Just-in-time Learning-aided Nonlinear Fault Detection for Traction Systems of High-speed Trains
- Short-Term PV Power Forecasting Based on CEEMDAN and Ensemble DeepTCN
- Active pantograph in high-speed railway: Review, challenges, and applications
- Online Knowledge Distillation Based Multiscale Threshold Denoising Networks for Fault Diagnosis of Transmission Systems
- A Novel CVAE-Based Sequential Monte Carlo Framework for Dynamic Soft Sensor Applications