Hongtian Chen

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