Publications, Activities, and Awards

  • A deep bi-directional long short-term memory model for automatic rotating speed extraction from raw vibration signals
  • Aluminum structure crack length estimation and prediction
  • Analysis of vibration signals and detection for multiple tooth cracks in spur gearboxes
  • Convolutional Neural Networks for Fault Diagnosis Using Rotating Speed Normalized Vibration
  • Scholarship
  • Structure fatigue crack length estimation and prediction using ultrasonic wave data based on ensemble linear regression and Paris’s law
  • Virtual rotating speed meter: Extracting machinery rotating speed from vibration signals based on deep learning and transfer learning
  • Virtual Rotating Speed Meter: Extracting Machinery Rotating Speed from Vibration Signals Based on Deep Learning and Transfer Learning
  • Weighted domain adaptation networks for machinery fault diagnosis