Research Areas

Research Area 1: Advanced Sensing Technology

• Vision-based online monitoring for rail conditions
• PZT-FBG hybrid sensing for rail track damage detection
• Ultrasonic guided waves for SHM in Railway
• Railway condition monitoring and damage prediction
• Electromagnetic Interference Test for Maglev Train
• Online monitoring for Maglev, High-speed Rail and Metro

Research Area 2: Smart Dampers for Vibration/Noise Control

• Smart suspension system for high-speed trains 
• Semi-active vibration control using smart MR suspension
• Railway noise sources and mitigation measures
• Rail particle dampers for vibration/noise control
• Configurable rail dynamic testbed at PolyU Shenzhen Research Institute
• Collaboration with local industry on Rail Noise Control

Research Area 3: Energy Harvesters for Sensors/Dampers

• Devised energy harvesters
• Rolling tests of a train bogie equipped with devised energy harvester
• Online monitoring on metro for testing of devised energy harvesters
• Smart sensing, absorption, and harvesting technologies for railway electrification system
• Tailor-made sensors made of smart materials
• Facilities in CNERC-Rail for smart sensor fabrication

Research Area 4: Machine Learning for Diagnosis/Prognosis

• Transfer learning for crack and deterioration diagnosis of rail
• Adversarial domain adaptation for wheel defect detection
• Adaptive deep learning for compressive sensing of HSR
• CNN-based damage detection of maglev rail joints