TechRxiv

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
  • 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
  • Quality-Oriented Efficient Distributed Kernel-Based Monitoring Strategy for Nonlinear Plant-Wide Industrial Processes
  • Event-Based ${H}_{\infty}$ Tracking Control for the T-S Fuzzy-Based SP-IPT System With Coil Misalignment
  • A Physical-Feature Interactive Expansion-Based Fault Diagnosis Method With Applications to Marine Current Turbines
  • Explainable Fault Diagnosis Using Invertible Neural Networks-Part I: A Left Manifold-based Solution
  • A Target Tracking Guidance for Unmanned Surface Vehicles in the Presence of Obstacles
  • Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control
  • Blade Fault Diagnosis Based on Hybrid Physics and Domain Adaptation: A Case Study of Variable-Speed Marine Current Turbines
  • Blade Fault Diagnosis Based on Hybrid Physics and Domain Adaptation: A Case Study of Variable-Speed Marine Current Turbines
  • Reinforcement Learning in Process Industries: Review and Perspective
  • Distributed Process Monitoring for Multiagent Systems Through Cognitive Learning
  • Dynamic Output Feedback Fault-Tolerant Control for Switched Vehicle Active Suspension Delayed Systems
  • A Simultaneous Diagnosis Approach for Power Switch, Grid-side Current Sensor, and DC-link Voltage Sensor Faults in Single-Phase Three-Level Rectifiers
  • A Simultaneous Diagnosis Approach for Power Switch, Grid-Side Current Sensor, and DC-Link Voltage Sensor Faults in Single-Phase Three-Level Rectifiers
  • A Lightweight Pig Face Recognition Method Based on Efficient Mobile Network and Horizontal Vertical Attention Mechanism
  • Fault Diagnosis for Multi-Phase Inverters: A Telescoping Modulus Approach With Convolutional Neural Networks
  • Comprehensive Diagnosis Strategy for Power Switch, Grid-Side Current Sensor, DC-Link Voltage Sensor Faults in Single-Phase Three-Level Rectifiers
  • A Segmented Iterative Learning Scheme-Based Distributed Fault Estimation for Switched Interconnected Nonlinear Systems
  • Day-Ahead Probabilistic Load Forecasting: A Multi-Information Fusion and Noncrossing Quantiles Method
  • Performance-Based Hierarchical Fault-Tolerant Control for Closed-Loop Systems With Multiplicative Faults: A Data-Driven Design Method

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Co-workers & collaborators

Okyay Kaynak

Okyay Kaynak

Haoyuan Luo

Haoyuan Luo

Derong Liu

Derong Liu

Hongtian Chen's public data