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

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Co-workers & collaborators

Derong Liu

Derong Liu

OGUZHAN DOGRU

OGUZHAN DOGRU

Hongtian Chen's public data