Author Details

NI, YI-QING

  • Structural Health Monitoring 2019 - SPECIAL SESSION: STRUCTURAL HEALTH MONITORING AND CONDITION-BASED MAINTENANCE OF HIGH-SPEED AND INTERCITY RAILWAYS
    Monitoring-Assisted Derailment Prediction of a High-Speed Train Running on a Long-Span Cable-Stayed Bridge
    Abstract
  • Structural Health Monitoring 2019 - SPECIAL SESSION: STRUCTURAL HEALTH MONITORING AND CONDITION-BASED MAINTENANCE OF HIGH-SPEED AND INTERCITY RAILWAYS
    Variational Autoencoder-Based Approach for Rail Defect Identification
    Abstract
  • Structural Health Monitoring 2019 - SPECIAL SESSION: STRUCTURAL HEALTH MONITORING AND CONDITION-BASED MAINTENANCE OF HIGH-SPEED AND INTERCITY RAILWAYS
    An Inversed Greedy Method for Information-Based Optimal Sensor Placement on Bridges
    Abstract
  • Structural Health Monitoring 2019 - SPECIAL SESSION: STRUCTURAL HEALTH MONITORING AND CONDITION-BASED MAINTENANCE OF HIGH-SPEED AND INTERCITY RAILWAYS
    Monitoring of Rail Bolted Joint Looseness with PZT Network- Based EMI Technique Under a Deep Learning Framework
    Abstract
  • Structural Health Monitoring 2019 - SPECIAL SESSION: STRUCTURAL HEALTH MONITORING AND CONDITION-BASED MAINTENANCE OF HIGH-SPEED AND INTERCITY RAILWAYS
    A Bayesian Probabilistic Approach for Damage Detection of a Population of Nominally Identical Structures: Application to Railway Wheel Condition Assessment
    Abstract
  • Structural Health Monitoring 2019 - SPECIAL SESSION: STRUCTURAL HEALTH MONITORING AND CONDITION-BASED MAINTENANCE OF HIGH-SPEED AND INTERCITY RAILWAYS
    Application of Driving Recorder to Evaluate Rail Irregularity and Vehicle Swing
    Abstract
  • Structural Health Monitoring 2019 - STATISTICAL METHODS AND MACHINE LEARNING
    Deep Learning-based Data Anomaly Detection in Rail Track Inspection
    Abstract
  • Structural Health Monitoring 2019 - STATISTICAL METHODS AND MACHINE LEARNING
    A Temperature-driven One-Class Support Vector Machine Method for Anomaly Detection
    Abstract
  • Structural Health Monitoring 2019 - SENDING, DIAGNOSTICS, AND QUANTIFICATION
    A Bayesian Probabilistic Approach for Damage Detection of a Population of Nominally Identical Structures: Application to Railway Wheel Condition Assessment
    Abstract